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The Resource Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book)

Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book)

Label
Statistical methods for microarray data analysis : methods and protocols
Title
Statistical methods for microarray data analysis
Title remainder
methods and protocols
Statement of responsibility
edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile
Contributor
Subject
Language
eng
Member of
Cataloging source
GW5XE
Dewey number
572.8/636
Illustrations
illustrations
Index
index present
LC call number
QP624.5.D726
LC item number
S73 2013
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1944-
http://library.link/vocab/relatedWorkOrContributorName
  • Yakovlev, Andrei Yu
  • Klebanov, Lev
  • Gaile, Daniel
Series statement
Methods in Molecular Biology
Series volume
972
http://library.link/vocab/subjectName
  • DNA microarrays
  • Microarray Analysis
Label
Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book)
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
  • Using of normalizations for gene expression analysis
  • Peter Bubeliny
  • Constructing multivariate prognostic gene signatures with censored survival data
  • Derick R. Peterson
  • Clustering of gene expression data via normal mixture models
  • G.J. McLachlan ... [et al.]
  • Network-based analysis of multivariate gene expression data
  • Wei Zhi ... [et al.]
  • Genomic outlier detection in high-throughput data analysis
  • Debashis Ghosh
  • What statisticians should know about microarray gene expression technology
  • Impact of experimental noise and annotation imprecision on data quality in microarray experiments
  • Andreas Scherer, Manhong Dai, and Fan Meng
  • Aggregation effect in microarray data analysis
  • Linlin Chen, Anthony Almudevar, and Lev Klebanov
  • Test for normality of the gene expression data
  • Bobosharif Shokirov
  • Stephen Welle
  • Where statistics and molecular microarray experiments biology meet
  • Diana M. Kelmansky
  • Multiple hypothesis testing : a methodological overview
  • Anthony Almudevar
  • Gene selection with the [delta]-sequence method
  • Xing Qiu and Lev Klebanov
Control code
SPR828148223
Dimensions
unknown
Extent
1 online resource (xi, 212 p.)
File format
unknown
Form of item
online
Isbn
9781603273367
Level of compression
unknown
Other physical details
ill.
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote
Label
Statistical methods for microarray data analysis : methods and protocols, edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile, (electronic book)
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
  • Using of normalizations for gene expression analysis
  • Peter Bubeliny
  • Constructing multivariate prognostic gene signatures with censored survival data
  • Derick R. Peterson
  • Clustering of gene expression data via normal mixture models
  • G.J. McLachlan ... [et al.]
  • Network-based analysis of multivariate gene expression data
  • Wei Zhi ... [et al.]
  • Genomic outlier detection in high-throughput data analysis
  • Debashis Ghosh
  • What statisticians should know about microarray gene expression technology
  • Impact of experimental noise and annotation imprecision on data quality in microarray experiments
  • Andreas Scherer, Manhong Dai, and Fan Meng
  • Aggregation effect in microarray data analysis
  • Linlin Chen, Anthony Almudevar, and Lev Klebanov
  • Test for normality of the gene expression data
  • Bobosharif Shokirov
  • Stephen Welle
  • Where statistics and molecular microarray experiments biology meet
  • Diana M. Kelmansky
  • Multiple hypothesis testing : a methodological overview
  • Anthony Almudevar
  • Gene selection with the [delta]-sequence method
  • Xing Qiu and Lev Klebanov
Control code
SPR828148223
Dimensions
unknown
Extent
1 online resource (xi, 212 p.)
File format
unknown
Form of item
online
Isbn
9781603273367
Level of compression
unknown
Other physical details
ill.
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote

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