04026nam 22007695 450 991043785730332120200703174719.03-642-45161-610.1007/978-3-642-45161-4(CKB)3710000000083721(EBL)1636655(OCoLC)871224049(SSID)ssj0001158996(PQKBManifestationID)11636158(PQKBTitleCode)TC0001158996(PQKBWorkID)11106482(PQKB)11374811(DE-He213)978-3-642-45161-4(MiAaPQ)EBC1636655(PPN)176117822(EXLCZ)99371000000008372120140103d2013 u| 0engur|n|---|||||txtccrGene Network Inference Verification of Methods for Systems Genetics Data /edited by Alberto Fuente1st ed. 2013.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2013.1 online resource (135 p.)Description based upon print version of record.3-642-45160-8 Includes bibliographical references at the end of each chapters.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.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.Systems biologyBioinformaticsBiological systemsBioinformaticsComputational biologyGene expressionSystems Biologyhttps://scigraph.springernature.com/ontologies/product-market-codes/L15010Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/L15001Systems Biologyhttps://scigraph.springernature.com/ontologies/product-market-codes/P27050Computer Appl. in Life Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/L17004Gene Expressionhttps://scigraph.springernature.com/ontologies/product-market-codes/B12010Systems biology.Bioinformatics.Biological systems.Bioinformatics.Computational biology.Gene expression.Systems Biology.Bioinformatics.Systems Biology.Computer Appl. in Life Sciences.Gene Expression.570570285571.4572.8Fuente Albertoedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910437857303321Gene Network Inference2513111UNINA