Gene Network Inference

Verification of Methods for Systems Genetics Data

Buch | Softcover

XI, 130 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2013
Springer Berlin (Verlag)
978-3-662-52204-2 (ISBN)

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This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaining reliable models from SG datasets. The knowledge gained from this benchmarking study will ultimately allow these algorithms to be used with confidence for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians.

Simulation of the Benchmark Datasets.- A Panel of Learning Methods for the Reconstruction of Gene Regulatory Networks in a Systems Genetics Context.- Benchmarking a simple yet effective approach for inferring gene regulatory networks from systems genetics data.- Differential Equation based reverse-engineering algorithms: pros and cons.- Gene regulatory network inference from systems genetics data using tree-based methods.- Extending partially known networks.- Integration of genetic variation as external perturbation to reverse engineer regulatory networks from gene expression data.- Using Simulated Data to Evaluate Bayesian Network Approach for Integrating Diverse Data.

Erscheinungsdatum	02.09.2016
Zusatzinfo	XI, 130 p. 49 illus., 33 illus. in color.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Weitere Themen ► Bioinformatik
Themenwelt	Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
Schlagworte	Bioinformatics • Biological Networks, Systems Biology • Biology, life sciences • Biomedical and Life Sciences • Computer Appl. in Life Sciences • gene expression • Gene Network Inference • gene networks • Information technology: general issues • Life sciences: general issues • medical genetics • Molecular Biology • Network inference • systems biology • Systems Genetics
ISBN-10	3-662-52204-7 / 3662522047
ISBN-13	978-3-662-52204-2 / 9783662522042
Zustand	Neuware