| Record ID | marc_columbia/Columbia-extract-20221130-009.mrc:92156820:3493 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-009.mrc:92156820:3493?format=raw |
LEADER: 03493mam a2200373 a 4500
001 4070688
005 20221027030922.0
008 020822t20032003maua b 001 0 eng
010 $a 2002034174
015 $aGBA3-05470
020 $a1402072600 (alk. paper)
035 $a(OCoLC)ocm50519150
035 $9AVG5492HS
035 $a(NNC)4070688
035 $a4070688
040 $aDLC$cDLC$dC#P$dCUX$dUKM$dOrLoB-B
042 $apcc
050 00 $aQP624.5.D726$bP73 2003
082 00 $a572.8/633$221
245 02 $aA practical approach to microarray data analysis /$cedited by Daniel P. Berrar, Werner Dubitzky, Martin Granzow.
260 $aBoston :$bKluwer Academic Publishers,$c[2003], ©2003.
300 $axv, 368 pages :$billustrations ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references and index.
505 00 $g1.$tIntroduction to Microarray Data Analysis /$rWerner Dubitzky, Martin Granzow, C. Stephen Downes and Daniel Berrar --$g2.$tData Pre-Processing Issues in Microarray Analysis /$rNicholas A. Tinker, Laurian S. Robert, Gail Butler and Linda J. Harris --$g3.$tMissing Value Estimation /$rOlga G. Troyanskaya, David Botstein and Russ B. Altman --$g4.$tNormalization /$rNorman Morrison and David C. Hoyle --$g5.$tSingular Value Decomposition and Principal Component Analysis /$rMichael E. Wall, Andreas Rechtsteiner and Luis M. Rocha --$g6.$tFeature Selection in Microarray Analysis /$rEric P. Xing --$g7.$tIntroduction to Classification in Microarray Experiments /$rSandrine Dudoit and Jane Fridlyand --$g8.$tBayesian Network Classifiers for Gene Expression Analysis /$rByoung-Tak Zhang and Kyu-Baek Hwang --$g9.$tClassifying Microarray Data Using Support Vector Machines /$rSayan Mukherjee --$g10.$tWeighted Flexible Compound Covariate Method for Classifying Microarray Data /$rYu Shyr and KyungMann Kim --
505 80 $g11.$tClassification of Expression Patterns Using Artificial Neural Networks /$rMarkus Ringner, Patrik Eden and Peter Johansson --$g12.$tGene Selection and Sample Classification Using a Genetic Algorithm and k-Nearest Neighbor Method /$rLeping Li and Clarice R. Weinberg --$g13.$tClustering Genomic Expression Data: Design and Evaluation Principles /$rFrancisco Azuaje and Nadia Bolshakova --$g14.$tClustering or Automatic Class Discovery: Hierarchical Methods /$rDerek C. Stanford, Douglas B. Clarkson and Antje Hoering --$g15.$tDiscovering Genomic Expression Patterns with Self-Organizing Neural Networks /$rFrancisco Azuaje --$g16.$tClustering or Automatic Class Discovery: non-hierarchical, non-SOM /$rKa Yee Yeung --$g17.$tCorrelation and Association Analysis /$rSimon M. Lin and Kimberly F. Johnson --$g18.$tGlobal Functional Profiling of Gene Expression Data /$rSorin Draghici and Stephen A. Krawetz --$g19.$tMicroarray Software Review /$rYuk Fai Leung, Dennis Shun Chiu Lam and Chi Pui Pang --
505 80 $g20.$tMicroarray Analysis as a Process /$rSusan Jensen.
650 0 $aDNA microarrays.$0http://id.loc.gov/authorities/subjects/sh99000707
650 12 $aOligonucleotide Array Sequence Analysis$xmethods.$0https://id.nlm.nih.gov/mesh/D020411Q000379
700 1 $aBerrar, Daniel P.,$d1972-$0http://id.loc.gov/authorities/names/n2002110116
700 1 $aDubitzky, Werner,$d1958-$0http://id.loc.gov/authorities/names/n2002110102
700 1 $aGranzow, Martin,$d1970-$0http://id.loc.gov/authorities/names/n2002110107
852 00 $boff,bio$hQP624.5.D726$iP73 2003