소장자료

Statistical Methods for Microarray Data Analysis Methods and Protocols [electronic resource] :

  • Yakovlev, Andrei Y. editor. , Klebanov, Lev. editor. , Gaile, Daniel. editor.
  • 2013
Statistical Methods for Microarray Data Analysis Methods and Protocols [electronic resource] :
  • 자료유형
    단행본
  • 서명/저자사항
    Statistical Methods for Microarray Data Analysis[electronic resource] :Methods and Protocols / edited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile.
  • 개인저자
    Yakovlev, Andrei Y., editor., Klebanov, Lev., editor., Gaile, Daniel., editor.
  • 단체저자
    SpringerLink (Online service)
  • 형태사항
    XI, 212 p. 34 illus., 14 illus. in color. : online resource.
  • 총서명
    Methods in Molecular Biology, Methods and Protocols,1064-3745 ; 972
  • 내용주기
    What Statisticians Should Know About Microarray Gene Expression Technology -- Where Statistics and Molecular Microarray Experiments Biology Meet -- Multiple Hypothesis Testing: A Methodological Overview -- Gene Selection with the d-sequence Method -- Using of Normalizations for Gene Expression Analysis -- Constructing Multivariate Prognostic Gene Signatures with Censored Survival Data -- Clustering of Gene-Expression Data via Normal Mixture Models -- Network-based Analysis of Multivariate Gene Expression Data -- Genomic Outlier Detection in High-throughput Data Analysis -- Impact of Experimental Noise and Annotation Imprecision on Data Quality in Microarray Experiment -- Aggregation Effect in Microarray Data Analysis -- Test for Normality of the Gene Expression Data.
  • 일반주제명
    Medicine.
    Human genetics.
    Microarrays.
    Biomedicine.
    Human Genetics.
    Microarrays.
  • 기본자료 저록
    Springer eBooks
  • 기타형태 저록
    Printed edition: 9781603273367
  • ISBN
    9781603273374
  • 언어
    영어