03695nam 2200709 a 450 991046352080332120200520144314.01-280-77229-897866136830691-60344-661-3(CKB)3170000000046200(EBL)1100907(OCoLC)794002160(SSID)ssj0000597395(PQKBManifestationID)11362559(PQKBTitleCode)TC0000597395(PQKBWorkID)10578179(PQKB)10761140(MiAaPQ)EBC1100907(MdBmJHUP)muse15842(Au-PeEL)EBL1100907(CaPaEBR)ebr10561948(CaONFJC)MIL368306(EXLCZ)99317000000004620020111201d2012 uy 0engur|n|---|||||txtccrThe folly of Jim Crow[electronic resource] rethinking the segregated South /edited by Stephanie Cole and Natalie J. Ring ; introduction by W. Fitzhugh Brundage ; contributors, Peter Wallenstein ... [et al.]1st ed.College Station Published for the University of Texas at Arlington by Texas A&M University Press20121 online resource (234 p.)Walter Prescott Webb memorial lectures ;no. 43Description based upon print version of record.1-60344-582-X Includes bibliographical references and index.Identity, marriage, and schools: life along the color line/s in the era of Plessy v. Ferguson / Peter Wallenstein -- Southern Indians and Jim Crow / Theda Perdue -- The "new race question": the problem of poor whites and the color line / Natalie J. Ring -- "Nature is the author of such restrictions": science, ethnological medicine, and Jim Crow / Melissa Stein -- From the "ladies' car" to the "colored car": black female travelers in the segregated South / Mia Bay -- Is marriage a civil right? the politics of intimacy in the Jim Crow era / Jane Dailey. Although the origins, application, and socio-historical implications of the Jim Crow system have been studied and debated for at least the last three-quarters of a century, nuanced understanding of this complex cultural construct is still evolving, according to Stephanie Cole and Natalie J. Ring, coeditors of The Folly of Jim Crow: Rethinking the Segregated South. Indeed, they suggest, scholars may profit from a careful examination of previous assumptions and conclusions along the lines suggested by the studies in this important new collection. Based on the March 20Walter Prescott Webb memorial lectures ;43.African AmericansSegregationSouthern StatesAfrican American womenSouthern StatesSocial conditions19th centuryAfrican American womenSouthern StatesSocial conditions20th centurySouthern StatesRace relationsHistory19th centurySouthern StatesRace relationsHistory20th centuryElectronic books.African AmericansSegregationAfrican American womenSocial conditionsAfrican American womenSocial conditions305.800975Cole Stephanie1962-975698Ring Natalie J975699Brundage W. Fitzhugh975700Wallenstein Peter975701MiAaPQMiAaPQMiAaPQBOOK9910463520803321The folly of Jim Crow2221834UNINA04026nam 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