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Biological Data Mining in Protein Interaction Networks

2009-05-31 Technology & Engineering
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Release : 2009-05-31
Genre : Technology & Engineering
Kind : eBook
Book Rating : 999/5 ( reviews)

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Book Synopsis Biological Data Mining in Protein Interaction Networks by : Li, Xiao-Li

Download or read book Biological Data Mining in Protein Interaction Networks written by Li, Xiao-Li. This book was released on 2009-05-31. Available in PDF, EPUB and Kindle. Book excerpt: "The goal of this book is to disseminate research results and best practices from cross-disciplinary researchers and practitioners interested in, and working on bioinformatics, data mining, and proteomics"--Provided by publisher.

Data Mining for Systems Biology

2019-08-04 Science
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Release : 2019-08-04
Genre : Science
Kind : eBook
Book Rating : 260/5 ( reviews)

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Book Synopsis Data Mining for Systems Biology by : Hiroshi Mamitsuka

Download or read book Data Mining for Systems Biology written by Hiroshi Mamitsuka. This book was released on 2019-08-04. Available in PDF, EPUB and Kindle. Book excerpt: This fully updated book collects numerous data mining techniques, reflecting the acceleration and diversity of the development of data-driven approaches to the life sciences. The first half of the volume examines genomics, particularly metagenomics and epigenomics, which promise to deepen our knowledge of genes and genomes, while the second half of the book emphasizes metabolism and the metabolome as well as relevant medicine-oriented subjects. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that is useful for getting optimal results. Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols, Second Edition serves as an ideal resource for researchers of biology and relevant fields, such as medical, pharmaceutical, and agricultural sciences, as well as for the scientists and engineers who are working on developing data-driven techniques, such as databases, data sciences, data mining, visualization systems, and machine learning or artificial intelligence that now are central to the paradigm-altering discoveries being made with a higher frequency.

Biological Data Mining And Its Applications In Healthcare

2013-11-28 Science
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Release : 2013-11-28
Genre : Science
Kind : eBook
Book Rating : 023/5 ( reviews)

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Book Synopsis Biological Data Mining And Its Applications In Healthcare by : Xiaoli Li

Download or read book Biological Data Mining And Its Applications In Healthcare written by Xiaoli Li. This book was released on 2013-11-28. Available in PDF, EPUB and Kindle. Book excerpt: Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions, biomedical images, to disease pathways and electronic health records. To exploit these data for discovering new knowledge that can be translated into clinical applications, there are fundamental data analysis difficulties that have to be overcome. Practical issues such as handling noisy and incomplete data, processing compute-intensive tasks, and integrating various data sources, are new challenges faced by biologists in the post-genome era. This book will cover the fundamentals of state-of-the-art data mining techniques which have been designed to handle such challenging data analysis problems, and demonstrate with real applications how biologists and clinical scientists can employ data mining to enable them to make meaningful observations and discoveries from a wide array of heterogeneous data from molecular biology to pharmaceutical and clinical domains.

Protein Interaction Networks

2009-04-06 Computers
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Release : 2009-04-06
Genre : Computers
Kind : eBook
Book Rating : 032/5 ( reviews)

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Book Synopsis Protein Interaction Networks by : Aidong Zhang

Download or read book Protein Interaction Networks written by Aidong Zhang. This book was released on 2009-04-06. Available in PDF, EPUB and Kindle. Book excerpt: The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Proteins seldom act as single isolated species; rather, proteins involved in the same cellular processes often interact with each other. Functions of uncharacterized proteins can be predicted through comparison with the interactions of similar known proteins. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches, including statistical, topological, data-mining, and ontology-based methods. The author discusses the fundamental principles underlying each of these approaches and their respective benefits and drawbacks, and she offers suggestions for future research.

Summarizing Biological Networks

2017-04-17 Computers
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Release : 2017-04-17
Genre : Computers
Kind : eBook
Book Rating : 21X/5 ( reviews)

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Book Synopsis Summarizing Biological Networks by : Sourav S. Bhowmick

Download or read book Summarizing Biological Networks written by Sourav S. Bhowmick. This book was released on 2017-04-17. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the data mining, systems biology, and bioinformatics computational methods that can be used to summarize biological networks. Specifically, it discusses an array of techniques related to biological network clustering, network summarization, and differential network analysis which enable readers to uncover the functional and topological organization hidden in a large biological network. The authors also examine crucial open research problems in this arena. Academics, researchers, and advanced-level students will find this book to be a comprehensive and exceptional resource for understanding computational techniques and their applications for a summary of biological networks.

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