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Big Mechanisms in Systems Biology

Big Mechanisms in Systems Biology
  • Author : Bor-Sen Chen,Cheng-Wei Li
  • Publisher :Unknown
  • Release Date :2016-10-25
  • Total pages :878
  • ISBN : 9780128097076
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Summary : Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining methods using models of biological systems. Systems biology is currently undergoing revolutionary changes in response to the integration of powerful technologies. Faced with a large volume of available literature, complicated mechanisms, small prior knowledge, few classes on the topics, and causal and mechanistic language, this is an ideal resource. This book addresses system immunity, regulation, infection, aging, evolution, and carcinogenesis, which are complicated biological systems with inconsistent findings in existing resources. These inconsistencies may reflect the underlying biology time-varying systems and signal transduction events that are often context-dependent, which raises a significant problem for mechanistic modeling since it is not clear which genes/proteins to include in models or experimental measurements. The book is a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in an in-depth understanding on how to process and apply great amounts of biological data to improve research. Written in a didactic manner in order to explain how to investigate Big Mechanisms by big data mining and system identification Provides more than 140 diagrams to illustrate Big Mechanism in systems biology Presents worked examples in each chapter

Molecular Mechanisms of Autonomy in Biological Systems

Molecular Mechanisms of Autonomy in Biological Systems
  • Author : Tara Karimi
  • Publisher :Unknown
  • Release Date :2018-07-28
  • Total pages :134
  • ISBN : 9783319918242
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Summary : This book presents a novel molecular description for understanding the regulatory mechanisms behind the autonomy and self-organization in biological systems. Chapters focus on defining and explaining the regulatory molecular mechanisms behind different aspects of autonomy and self-organization in the sense of autonomous coding, data processing, structure (mass) formation and energy production in a biological system. Subsequent chapters discuss the cross-talk among mechanisms of energy, and mass and information, transformation in biological systems. Other chapters focus on applications regarding therapeutic approaches in regenerative medicine. Molecular Mechanisms of Autonomy in Biological Systems is an indispensable resource for scientists and researchers in regenerative medicine, stem cell biology, molecular biology, tissue engineering, developmental biology, biochemistry, biophysics, bioinformatics, as well as big data sciences, complexity and soft computing.

Computational Systems Biology

Computational Systems Biology
  • Author : Andres Kriete,Roland Eils
  • Publisher :Unknown
  • Release Date :2013-11-26
  • Total pages :548
  • ISBN : 9780124059382
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Summary : This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling. Logical information flow aids understanding of basic building blocks of life through disease phenotypes Evolved principles gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns Coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation Multi-scale modeling on disparate scales aids researchers understanding of dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function.

Epigenetics and Systems Biology

Epigenetics and Systems Biology
  • Author : Leonie Ringrose
  • Publisher :Unknown
  • Release Date :2017-04-25
  • Total pages :286
  • ISBN : 9780128030769
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Summary : Epigenetics and Systems Biology highlights the need for collaboration between experiments and theoretical modeling that is required for successful application of systems biology in epigenetics studies. This book breaks down the obstacles which exist between systems biology and epigenetics researchers due to information barriers and segmented research, giving real-life examples of successful combinations of systems biology and epigenetics experiments. Each section covers one type of modeling and one set of epigenetic questions on which said models have been successfully applied. In addition, the book highlights how modeling and systems biology relate to studies of RNA, DNA, and genome instability, mechanisms of DNA damage signaling and repair, and the effect of the environment on genome stability. Presents original research in a wider perspective to reveal potential for synergies between the two fields of study Provides the latest experiments in primary literature for the modeling audience Includes chapters written by experts in systems biology and epigenetics who have vast experience studying clinical applications

Bioinformatics in the Era of Post Genomics and Big Data

Bioinformatics in the Era of Post Genomics and Big Data
  • Author : Ibrokhim Y. Abdurakhmonov
  • Publisher :Unknown
  • Release Date :2018-06-20
  • Total pages :188
  • ISBN : 9781789232684
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Summary : Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. There are extensively ongoing world-wide efforts to build the resources for regional hosting, organized and structured access and improving the pre-existing bioinformatics tools to efficiently and meaningfully analyze day-to-day increasing big data. This book intends to provide the reader with updates and progress on genomic data analysis, data modeling and network-based system tools.

Computational Methods in Systems Biology

Computational Methods in Systems Biology
  • Author : Jérôme Feret,Heinz Koeppl
  • Publisher :Unknown
  • Release Date :2017-10-06
  • Total pages :332
  • ISBN : 9783319674711
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Summary : This book constitutes the refereed proceedings of the 15th International Conference on Computational Methods in Systems Biology, CMSB 2017, held in Darmstadt, Germany, in September 2017. The 15 full papers, 4 tool papers and 4 posters presented together with 1 invited talk were carefully reviewed and selected from 41 regular paper submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verication, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations; model inference from experimental data; model integration from biological databases; multi-scale modeling and analysis methods; and computational approaches for synthetic biology.

Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer

Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer
  • Author : Osbaldo Resendis-Antonio,Christian Diener
  • Publisher :Unknown
  • Release Date :2017-11-23
  • Total pages :229
  • ISBN : 9782889453337
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Summary : Since the discovery of the Warburg effect in the 1920s cancer has been tightly associated with the genetic and metabolic state of the cell. One of the hallmarks of cancer is the alteration of the cellular metabolism in order to promote proliferation and undermine cellular defense mechanisms such as apoptosis or detection by the immune system. However, the strategies by which this is achieved in different cancers and sometimes even in different patients of the same cancer is very heterogeneous, which hinders the design of general treatment options. Recently, there has been an ongoing effort to study this phenomenon on a genomic scale in order to understand the causality underlying the disease. Hence, current “omics” technologies have contributed to identify and monitor different biological pieces at different biological levels, such as genes, proteins or metabolites. These technological capacities have provided us with vast amounts of clinical data where a single patient may often give rise to various tissue samples, each of them being characterized in detail by genomescale data on the sequence, expression, proteome and metabolome level. Data with such detail poses the imminent problem of extracting meaningful interpretations and translating them into specific treatment options. To this purpose, Systems Biology provides a set of promising computational tools in order to decipher the mechanisms driving a healthy cell’s metabolism into a cancerous one. However, this enterprise requires bridging the gap between large data resources, mathematical analysis and modeling specifically designed to work with the available data. This is by no means trivial and requires high levels of communication and adaptation between the experimental and theoretical side of research.

Computational Methods in Systems Biology

Computational Methods in Systems Biology
  • Author : Milan Češka,David Šafránek
  • Publisher :Unknown
  • Release Date :2018-08-27
  • Total pages :326
  • ISBN : 9783319994291
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Summary : This book constitutes the refereed proceedings of the 16th International Conference on Computational Methods in Systems Biology, CMSB 2018, held in BRNO, Czech Republic, in September 2018. The 15 full and 7 short papers presented together with 5 invited talks were carefully reviewed and selected from 46 submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology; parameter and model inference from experimental data; automated parameter and model synthesis; model integration and biological databases; multi-scale modeling and analysis methods; design, analysis, and verification methods for synthetic biology; methods for biomolecular computing and engineered molecular devices. Chapters 3, 9 and 10 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Translational Systems Biology

Translational Systems Biology
  • Author : Yoram Vodovotz,Gary An
  • Publisher :Unknown
  • Release Date :2014-10-08
  • Total pages :178
  • ISBN : 9780123978905
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Summary : Are we satisfied with the rate of drug development? Are we happy with the drugs that come to market? Are we getting our money’s worth in spending for basic biomedical research? In Translational Systems Biology, Drs. Yoram Vodovotz and Gary An address these questions by providing a foundational description the barriers facing biomedical research today and the immediate future, and how these barriers could be overcome through the adoption of a robust and scalable approach that will form the underpinning of biomedical research for the future. By using a combination of essays providing the intellectual basis of the Translational Dilemma and reports of examples in the study of inflammation, the content of Translational Systems Biology will remain relevant as technology and knowledge advances bring broad translational applicability to other diseases. Translational systems biology is an integrated, multi-scale, evidence-based approach that combines laboratory, clinical and computational methods with an explicit goal of developing effective means of control of biological processes for improving human health and rapid clinical application. This comprehensive approach to date has been utilized for in silico studies of sepsis, trauma, hemorrhage, and traumatic brain injury, acute liver failure, wound healing, and inflammation. Provides an explicit, reasoned, and systematic approach to dealing with the challenges of translational science across disciplines Establishes the case for including computational modeling at all stages of biomedical research and healthcare delivery, from early pre-clinical studies to long-term care, by clearly delineating efficiency and costs saving important to business investment Guides readers on how to communicate across domains and disciplines, particularly between biologists and computational researchers, to effectively develop multi- and trans-disciplinary research teams

Advances in Systems Biology

Advances in Systems Biology
  • Author : Lee K. Opresko,Julie M. Gephart,Michaela B. Mann
  • Publisher :Unknown
  • Release Date :2004-05-19
  • Total pages :108
  • ISBN : 0306483149
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Summary : Pacific Northwest National Laboratory, Richland, WA. Presents the proceedings of the Pacific Northwest National Laboratory inaugural meeting of the Northwest Symposium for Systems Biology, held October 17-18, 2002, in Richland, Washington.

Obesity

Obesity
  • Author : Karine Clement,Thorkild I. A. Sorensen
  • Publisher :Unknown
  • Release Date :2007-09-12
  • Total pages :600
  • ISBN : 1420020137
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Summary : This book comprehensively accounts the current understanding of genetic mechanisms of obesity by analyzing obesity phenotypes and genotypes and, gene polymorphisms and mutations, and current results from animal model research and genetic studies in human models. By presenting the impact of genetic factors in the development of obesity and key molec

The Science and Applications of Synthetic and Systems Biology

The Science and Applications of Synthetic and Systems Biology
  • Author : Institute of Medicine,Board on Global Health,Forum on Microbial Threats
  • Publisher :Unknown
  • Release Date :2011-12-30
  • Total pages :570
  • ISBN : 9780309219396
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Summary : Many potential applications of synthetic and systems biology are relevant to the challenges associated with the detection, surveillance, and responses to emerging and re-emerging infectious diseases. On March 14 and 15, 2011, the Institute of Medicine's (IOM's) Forum on Microbial Threats convened a public workshop in Washington, DC, to explore the current state of the science of synthetic biology, including its dependency on systems biology; discussed the different approaches that scientists are taking to engineer, or reengineer, biological systems; and discussed how the tools and approaches of synthetic and systems biology were being applied to mitigate the risks associated with emerging infectious diseases. The Science and Applications of Synthetic and Systems Biology is organized into sections as a topic-by-topic distillation of the presentations and discussions that took place at the workshop. Its purpose is to present information from relevant experience, to delineate a range of pivotal issues and their respective challenges, and to offer differing perspectives on the topic as discussed and described by the workshop participants. This report also includes a collection of individually authored papers and commentary.

Systems Biology

Systems Biology
  • Author : Dimitrios Vlachakis
  • Publisher :Unknown
  • Release Date :2019-06-19
  • Total pages :106
  • ISBN : 9781838808037
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Summary : Systems biology is the inevitable outcome of long years of knowledge acquisition and data accumulation. The aim of systems biology is to integrate in a seamless way all existing knowledge in interconnected disciplines, stretching from modern biomedical research to physics, chemistry, and mathematics. The main integration tool of such complex biomedical systems is via computational and mathematical modeling. In this direction, a series of state-of-the-art computer science techniques are used, namely, data mining and fusion, machine learning, and deep learning all under the prism of big data. All in all, systems biology is at the arrowhead of modern and state-of-the-art biomedical research by attempting to address key biological questions describing holistically complex biological systems.

A Practical Guide To Cancer Systems Biology

A Practical Guide To Cancer Systems Biology
  • Author : Juan Hsueh-fen,Huang Hsuan-cheng
  • Publisher :Unknown
  • Release Date :2017-11-29
  • Total pages :152
  • ISBN : 9789813229167
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Summary : Systems biology combines computational and experimental approaches to analyze complex biological systems and focuses on understanding functional activities from a systems-wide perspective. It provides an iterative process of experimental measurements, data analysis, and computational simulation to model biological behavior. This book provides explained protocols for high-throughput experiments and computational analysis procedures central to cancer systems biology research and education. Readers will learn how to generate and analyze high-throughput data, therapeutic target protein structure modeling and docking simulation for drug discovery. This is the first practical guide for students and scientists who wish to become systems biologists or utilize the approach for cancer research. Contents: Introduction to Cancer Systems Biology (Hsueh-Fen Juan and Hsuan-Cheng Huang)Transcriptome Analysis: Library Construction (Hsin-Yi Chang and Hsueh-Fen Juan)Quantitative Proteome: The Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) (Yi-Hsuan Wu and Hsueh-Fen Juan)Phosphoproteome: Sample Preparation (Chia-Wei Hu and Hsueh-Fen Juan)Transcriptomic Data Analysis: RNA-Seq Analysis Using Galaxy (Chia-Lang Hsu and Chantal Hoi Yin Cheung)Proteomic Data Analysis: Functional Enrichment (Hsin-Yi Chang and Hsueh-Fen Juan)Phosphorylation Data Analysis (Chia-Lang Hsu and Wei-Hsuan Wang)Pathway and Network Analysis (Chen-Tsung Huang and Hsueh-Fen Juan)Dynamic Modeling (Yu-Chao Wang)Protein Structure Modeling (Chia-Hsien Lee and Hsueh-Fen Juan)Docking Simulation (Chia-Hsien Lee and Hsueh-Fen Juan) Readership: Graduate students and researchers entering the cancer systems biology field. Keywords: Systems Biology;Transcriptomics;Proteomics;Network Biology;Dynamic Modeling;Protein Structure Modeling;Docking Simulation;BioinformaticsReview: Key Features: Written by two active researchers in the fieldCovers both experimental and computational areas in cancer systems biologyStep-by-step instructions help beginners who are interested in creating biological data and analyzing the data by themselvesReaders will gain the skills to generate and analyze omics data and discover potential therapeutic targets and drug candidates

Systems Biology of Cancer

Systems Biology of Cancer
  • Author : Sam Thiagalingam
  • Publisher :Unknown
  • Release Date :2015-04-09
  • Total pages :548
  • ISBN : 9780521493390
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Summary : An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.

Translational Systems Biology

Translational Systems Biology
  • Author : Yoram Vodovotz,Gary An
  • Publisher :Unknown
  • Release Date :2014-10-08
  • Total pages :178
  • ISBN : 9780123978905
GET BOOK HERE

Summary : Are we satisfied with the rate of drug development? Are we happy with the drugs that come to market? Are we getting our money’s worth in spending for basic biomedical research? In Translational Systems Biology, Drs. Yoram Vodovotz and Gary An address these questions by providing a foundational description the barriers facing biomedical research today and the immediate future, and how these barriers could be overcome through the adoption of a robust and scalable approach that will form the underpinning of biomedical research for the future. By using a combination of essays providing the intellectual basis of the Translational Dilemma and reports of examples in the study of inflammation, the content of Translational Systems Biology will remain relevant as technology and knowledge advances bring broad translational applicability to other diseases. Translational systems biology is an integrated, multi-scale, evidence-based approach that combines laboratory, clinical and computational methods with an explicit goal of developing effective means of control of biological processes for improving human health and rapid clinical application. This comprehensive approach to date has been utilized for in silico studies of sepsis, trauma, hemorrhage, and traumatic brain injury, acute liver failure, wound healing, and inflammation. Provides an explicit, reasoned, and systematic approach to dealing with the challenges of translational science across disciplines Establishes the case for including computational modeling at all stages of biomedical research and healthcare delivery, from early pre-clinical studies to long-term care, by clearly delineating efficiency and costs saving important to business investment Guides readers on how to communicate across domains and disciplines, particularly between biologists and computational researchers, to effectively develop multi- and trans-disciplinary research teams

Feedback Control in Systems Biology

Feedback Control in Systems Biology
  • Author : Carlo Cosentino,Declan Bates
  • Publisher :Unknown
  • Release Date :2011-10-17
  • Total pages :296
  • ISBN : 9781439816905
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Summary : Like engineering systems, biological systems must also operate effectively in the presence of internal and external uncertainty—such as genetic mutations or temperature changes, for example. It is not surprising, then, that evolution has resulted in the widespread use of feedback, and research in systems biology over the past decade has shown that feedback control systems are widely found in biology. As an increasing number of researchers in the life sciences become interested in control-theoretic ideas such as feedback, stability, noise and disturbance attenuation, and robustness, there is a need for a text that explains feedback control as it applies to biological systems. Written by established researchers in both control engineering and systems biology, Feedback Control in Systems Biology explains how feedback control concepts can be applied to systems biology. Filling the need for a text on control theory for systems biologists, it provides an overview of relevant ideas and methods from control engineering and illustrates their application to the analysis of biological systems with case studies in cellular and molecular biology. Control Theory for Systems Biologists The book focuses on the fundamental concepts used to analyze the effects of feedback in biological control systems, rather than the control system design methods that form the core of most control textbooks. In addition, the authors do not assume that readers are familiar with control theory. They focus on "control applications" such as metabolic and gene-regulatory networks rather than aircraft, robots, or engines, and on mathematical models derived from classical reaction kinetics rather than classical mechanics. Another significant feature of the book is that it discusses nonlinear systems, an understanding of which is crucial for systems biologists because of the highly nonlinear nature of biological systems. The authors cover tools and techniques for the analysis of linear and nonlinear systems; negative and positive feedback; robustness analysis methods; techniques for the reverse-engineering of biological interaction networks; and the analysis of stochastic biological control systems. They also identify new research directions for control theory inspired by the dynamic characteristics of biological systems. A valuable reference for researchers, this text offers a sound starting point for scientists entering this fascinating and rapidly developing field.

Advances in Computational Biology

Advances in Computational Biology
  • Author : Luis F. Castillo,Marco Cristancho,Gustavo Isaza,Andrés Pinzón,Juan Manuel Corchado Rodríguez
  • Publisher :Unknown
  • Release Date :2013-08-04
  • Total pages :397
  • ISBN : 9783319015682
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Summary : This volume compiles accepted contributions for the 2nd Edition of the Colombian Computational Biology and Bioinformatics Congress CCBCOL, after a rigorous review process in which 54 papers were accepted for publication from 119 submitted contributions. Bioinformatics and Computational Biology are areas of knowledge that have emerged due to advances that have taken place in the Biological Sciences and its integration with Information Sciences. The expansion of projects involving the study of genomes has led the way in the production of vast amounts of sequence data which needs to be organized, analyzed and stored to understand phenomena associated with living organisms related to their evolution, behavior in different ecosystems, and the development of applications that can be derived from this analysis.

Molecular Docking

Molecular Docking
  • Author : Dimitrios Vlachakis
  • Publisher :Unknown
  • Release Date :2018-07-11
  • Total pages :188
  • ISBN : 9781789233544
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Summary : Molecular docking has always been and will be on the forefront of developments in the eminent field of drug design and medicinal chemistry. At the early days, drug discovery was based on blackboard drawings and expert intuition. However, as times move on, the amount of available information and overall knowledge base that needs to be analyzed cannot be processed manually. This, coupled by the rapid growth in computational infrastructure and processing power, has allowed for the efficient use of molecular docking tools and algorithms to be considered in the greater field of drug discovery. In the postgenomic era, molecular docking has become the key player for the screening of hundreds of thousands of compounds against a repertoire of pharmacological targets.

Systems Biology

Systems Biology
  • Author : Bernhard Palsson
  • Publisher :Unknown
  • Release Date :2015-01-26
  • Total pages :550
  • ISBN : 9781107038851
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Summary : The first comprehensive single-authored textbook on genome-scale models and the bottom-up approach to systems biology.

Computational Systems Biology of Cancer

Computational Systems Biology of Cancer
  • Author : Emmanuel Barillot,Laurence Calzone,Philippe Hupe,Jean-Philippe Vert,Andrei Zinovyev
  • Publisher :Unknown
  • Release Date :2012-08-25
  • Total pages :461
  • ISBN : 9781439831441
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Summary : The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencing. Offering promising insights on how to defeat cancer, the emerging field of systems biology captures the complexity of biological phenomena using mathematical and computational tools. Novel Approaches to Fighting Cancer Drawn from the authors’ decade-long work in the cancer computational systems biology laboratory at Institut Curie (Paris, France), Computational Systems Biology of Cancer explains how to apply computational systems biology approaches to cancer research. The authors provide proven techniques and tools for cancer bioinformatics and systems biology research. Effectively Use Algorithmic Methods and Bioinformatics Tools in Real Biological Applications Suitable for readers in both the computational and life sciences, this self-contained guide assumes very limited background in biology, mathematics, and computer science. It explores how computational systems biology can help fight cancer in three essential aspects: Categorising tumours Finding new targets Designing improved and tailored therapeutic strategies Each chapter introduces a problem, presents applicable concepts and state-of-the-art methods, describes existing tools, illustrates applications using real cases, lists publically available data and software, and includes references to further reading. Some chapters also contain exercises. Figures from the text and scripts/data for reproducing a breast cancer data analysis are available at www.cancer-systems-biology.net.