clustering in bioinformatics and drug discovery chapman hall crc mathematical and computational biology

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Clustering In Bioinformatics And Drug Discovery

Author : John David MacCuish
ISBN : 9781439816790
Genre : Computers
File Size : 22. 32 MB
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With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a concise overview of common and recent clustering methods used in bioinformatics and drug discovery.Setting the stage for subsequent material, the firs

Computational Systems Biology Of Cancer

Author : Emmanuel Barillot
ISBN : 9781439831458
Genre : Science
File Size : 33. 14 MB
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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.

Computational Knowledge Discovery For Bioinformatics Research

Author : Li, Xiao-Li
ISBN : 9781466617865
Genre : Medical
File Size : 39. 77 MB
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"This book discusses the most significant research and latest practices in computational knowledge discovery approaches to bioinformatics in a cross-disciplinary manner that is useful for researchers, practitioners, academicians, mathematicians, statisticians, and computer scientists involved in the many facets of bioinformatics"--

Structural Bioinformatics

Author : Jenny Gu
ISBN : 9781118210567
Genre : Science
File Size : 41. 6 MB
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Structural Bioinformatics was the first major effort to showthe application of the principles and basic knowledge of the largerfield of bioinformatics to questions focusing on macromolecularstructure, such as the prediction of protein structure and howproteins carry out cellular functions, and how the application ofbioinformatics to these life science issues can improve healthcareby accelerating drug discovery and development. Designed primarilyas a reference, the first edition nevertheless saw widespread useas a textbook in graduate and undergraduate university coursesdealing with the theories and associated algorithms, resources, andtools used in the analysis, prediction, and theoreticalunderpinnings of DNA, RNA, and proteins. This new edition contains not only thorough updates of theadvances in structural bioinformatics since publication of thefirst edition, but also features eleven new chapters dealing withfrontier areas of high scientific impact, including: sampling andsearch techniques; use of mass spectrometry; genome functionalannotation; and much more. Offering detailed coverage for practitioners while remainingaccessible to the novice, Structural Bioinformatics, SecondEdition is a valuable resource and an excellent textbook for arange of readers in the bioinformatics and advanced biologyfields. Praise for the previous edition: "This book is a gold mine of fundamental and practicalinformation in an area not previously well represented in bookform." —Biochemistry and Molecular Education "... destined to become a classic reference work for workers atall levels in structural bioinformatics...recommended with greatenthusiasm for educators, researchers, and graduatestudents." —BAMBED "...a useful and timely summary of a rapidly expandingfield." —Nature Structural Biology "...a terrific job in this timely creation of a compilation ofarticles that appropriately addresses this issue." —Briefings in Bioinformatics

Advances In Systems Immunology And Cancer

Author : Masaru Tomita
ISBN : 9782889193134
Genre :
File Size : 60. 94 MB
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Gene Expression Studies Using Affymetrix Microarrays

Author : Hinrich Gohlmann
ISBN : 1420065165
Genre : Science
File Size : 21. 86 MB
Format : PDF
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The Affymetrix GeneChip® system is one of the most widely adapted microarray platforms. However, due to the overwhelming amount of information available, many Affymetrix users tend to stick to the default analysis settings and may end up drawing sub-optimal conclusions. Written by a molecular biologist and a biostatistician with a combined decade of experience in practical expression profiling experiments and data analyses, Gene Expression Studies Using Affymetrix Microarrays tears down the omnipresent language barriers among molecular biology, bioinformatics, and biostatistics by explaining the entire process of a gene expression study from conception to conclusion. Truly Multidisciplinary: Merges Molecular Biology, Bioinformatics, and Biostatistics This authoritative resource covers important technical and statistical pitfalls and problems, helping not only to explain concepts outside the domain of researchers, but to provide additional guidance in their field of expertise. The book also describes technical and statistical methods conceptually with illustrative, full-color examples, enabling those inexperienced with gene expression studies to grasp the basic principles. Gene Expression Studies Using Affymetrix Microarrays provides novices with a detailed, yet focused introductory course and practical user guide. Specialized experts will also find it useful as a translation dictionary to understand other involved disciplines or to get a broader picture of microarray gene expression studies in general. Although focusing on Affymetrix gene expression, this globally relevant guide covers topics that are equally useful for other microarray platforms and other Affymetrix applications.

Computational Methods In Biomedical Research

Author : Ravindra Khattree
ISBN : 1420010921
Genre : Mathematics
File Size : 34. 94 MB
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Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging computational statistical methods that are used in biomedical research. Written by active researchers in the field, this authoritative collection covers a wide range of topics. It introduces each topic at a basic level, before moving on to more advanced discussions of applications. The book begins with microarray data analysis, machine learning techniques, and mass spectrometry-based protein profiling. It then uses state space models to predict US cancer mortality rates and provides an overview of the application of multistate models in analyzing multiple failure times. The book also describes various Bayesian techniques, the sequential monitoring of randomization tests, mixed-effects models, and the classification rules for repeated measures data. The volume concludes with estimation methods for analyzing longitudinal data. Supplying the knowledge necessary to perform sophisticated statistical analyses, this reference is a must-have for anyone involved in advanced biomedical and pharmaceutical research. It will help in the quest to identify potential new drugs for the treatment of a variety of diseases.

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