| Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:80430516:4897 |
| Source | marc_columbia |
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LEADER: 04897cam a2200733 a 4500
001 15080565
005 20220817091353.0
006 m o d
007 cr cnu---unuuu
008 101025s2011 flua ob 001 0 eng d
035 $a(OCoLC)ocn671643968
035 $a(NNC)15080565
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015 $aGBB7A9805$2bnb
016 7 $a018392431$2Uk
019 $a670282617$a698254802$a712994226$a741350969$a994969806
020 $a9781420070187$q(electronic bk.)
020 $a1420070185$q(electronic bk.)
020 $z1420070177$q(hardcover ;$qalk. paper)
020 $z9781420070170$q(hardcover ;$qalk. paper)
035 $a(OCoLC)671643968$z(OCoLC)670282617$z(OCoLC)698254802$z(OCoLC)712994226$z(OCoLC)741350969$z(OCoLC)994969806
037 $aTANDF_184480$bIngram Content Group
050 4 $aQH324.2$b.D49 2011eb
060 4 $aQH 324.2
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072 7 $aSCI$x086000$2bisacsh
072 7 $aSCI$x008000$2bisacsh
082 04 $a570.285$222
049 $aZCUA
245 00 $aBayesian modeling in bioinformatics /$cedited by Dipak K. Dey, Samiran Ghosh, Bani K. Mallick.
260 $aBoca Raton :$bCRC Press,$c©2011.
300 $a1 online resource (xxv, 440 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC biostatistics series ;$v34
504 $aIncludes bibliographical references and index.
505 0 $aList of Tables -- List of Figures -- Preface -- Symbol Description -- Chapter 1: Estimation and Testing in Time-Course Microarray Experiments -- Chapter 2: Classification for Differential Gene Expression Using Bayesian Hierarchical Models -- Chapter 3: Applications of the Mode Oriented Stochastic Search (MOSS) Algorithm for Discrete Multi-Way Data to Genomewide Studies -- Chapter 4: Nonparametric Bayesian Bioinformatics -- Chapter 5: Measurement Error and Survival Model for cDNA Microarrays -- Chapter 6: Bayesian Robust Inference for Differential Gene Expression.
520 $a"Bayesian Modeling in Bioinformatics" discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad overview of statistical inference, clustering, and classification problems in two main high-throughput platforms: microarray gene expression and phylogenic analysis. The book explores Bayesian techniques and models for detecting differentially expressed genes, classifying differential gene expression, and identifying biomarkers. It develops novel Bayesian nonparametric approaches for bioinformatics problems, measurement error and survival models for cDNA microarrays, a Bayesian hidden Markov modeling approach for CGH array data, Bayesian approaches for phylogenic analysis, sparsity priors for protein-protein interaction predictions, and Bayesian networks for gene expression data. The text also describes applications of mode-oriented stochastic search algorithms, in vitro to in vivo factor profiling, proportional hazards regression using Bayesian kernel machines, and QTL mapping
588 0 $aPrint version record.
650 0 $aBioinformatics$xStatistical methods.
650 0 $aBayesian statistical decision theory.
650 0 $aBiological models.
650 12 $aBayes Theorem
650 22 $aComputational Biology
650 22 $aModels, Biological
650 6 $aBio-informatique$xMéthodes statistiques.
650 6 $aThéorie de la décision bayésienne.
650 6 $aThéorème de Bayes.
650 6 $aBio-informatique.
650 6 $aModèles biologiques.
650 7 $aNATURE$xReference.$2bisacsh
650 7 $aSCIENCE$xLife Sciences$xGeneral.$2bisacsh
650 7 $aSCIENCE$xLife Sciences$xBiology.$2bisacsh
650 7 $aBiological models.$2fast$0(OCoLC)fst00832276
650 7 $aBayesian statistical decision theory.$2fast$0(OCoLC)fst00829019
655 4 $aElectronic books.
700 1 $aDey, Dipak.
700 1 $aGhosh, Samiran.
700 1 $aMallick, Bani K.,$d1965-
776 08 $iPrint version:$tBayesian modeling in bioinformatics.$dBoca Raton : CRC Press, ©2011$z9781420070170$w(DLC) 2009049470$w(OCoLC)166872488
830 0 $aChapman & Hall/CRC biostatistics series ;$v34.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15080565$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS