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This volume explores recent techniques for the computational inference of gene regulatory networks (GRNs). The chapters in this book cover topics such as methods to infer GRNs from time-varying data; the extraction of causal information from biological data; GRN inference from multiple heterogeneous data sets; non-parametric and hybrid statistical methods; the joint inference of differential networks; and mechanistic models of gene regulation dynamics. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, descriptions of recently developed methods for GRN inference, applications of these methods on real and/ or simulated biological data, and step-by-step tutorials on the usage of associated software tools.Cutting-edge and thorough, Gene Regulatory Networks: Methods and Protocols is an essential tool for evaluating the current research needed to further addressthe common challenges faced by specialists in this field.
Del 11773 - Lecture Notes in Computer Science
Computational Methods in Systems Biology
17th International Conference, CMSB 2019, Trieste, Italy, September 18–20, 2019, Proceedings
Häftad, Engelska, 2019
541 kr
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This book constitutes the refereed proceedings of the 17th International Conference on Computational Methods in Systems Biology, CMSB 2019, held in Trieste, Italy, in September 2019. The 14 full papers, 7 tool papers and 11 posters were carefully reviewed and selected from 53 submissions.
541 kr
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The book also demonstrates the methods on the WikiLeaks Afghan War Diary, the results showing that this approach allows deeper insights into conflict dynamics and allows a strikingly statistically accurate forward prediction of armed opposition group activity in 2010, based solely on data from preceding years.
Pattern Recognition in Bioinformatics
4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009, Proceedings
Häftad, Engelska, 2009
540 kr
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The Pattern Recognition in Bioinformatics (PRIB) meeting was established in 2006 under the auspices of the International Association for Pattern Recognition (IAPR) to create a focus for the development and application of pattern recognition techniques in the biological domain. PRIB's aim to explore the full spectrum of pattern recognition application was re?ected in the breadth of techniquesrepresented in this year's subm- sions and in this book. These range from image analysis for biomedical data to systems biology. We werefortunatetohaveinvitedspeakersofthehighestcalibredeliveringkeynotes at the conference. These were Pierre Baldi (UC Irvine), Alvis Brazma (EMBL-EBI), GunnarRats .. ch(MPITubi .. ngen)andMichaelUnser(EPFL).Weacknowledgesupportof theEUFP7NetworkofExcellencePASCAL2forpartiallyfundingtheinvitedspeakers. Immediately prior to the conference, we hosted half day of tutorial lectures, while a special session on "Machine Learningfor IntegrativeGenomics" was held immediately after the main conference.Duringthe conference,a poster session was heldwith further discussion.Wewouldlikeonceagaintothankalltheauthorsforthehighqualityofsubmissions, as well as Yorkshire South and the University of Shef?eld for providing logistical help in organizing the conference. Finally, we would like to thank Springer for their help in assembling this proceedings volume and for the continued support of PRIB.