소장자료

Methods of Microarray Data Analysis Papers from CAMDA ??0 [electronic resource] :

  • Lin, Simon M. editor. , Johnson, Kimberly F. editor.
  • 2002
Methods of Microarray Data Analysis Papers from CAMDA ??0 [electronic resource] :
  • 자료유형
    단행본
  • 서명/저자사항
    Methods of Microarray Data Analysis[electronic resource] :Papers from CAMDA ??0 / edited by Simon M. Lin, Kimberly F. Johnson.
  • 대등서명
    Papers from CAMDA 2000, December 18-19, 2000, Duke University, Durham, NC, USA
  • 개인저자
    Lin, Simon M., editor., Johnson, Kimberly F., editor.
  • 단체저자
    SpringerLink (Online service)
  • 형태사항
    XIV, 189 p. : online resource.
  • 내용주기
    Reviews and Tutorials -- Data Mining and Machine Learning Methods for Microarray Analysis -- Evolutionary Computation in Microarray Data Analysis -- Best Presentation ??CAMDA ??0 -- Using Non-Parametric Methods in the Context of Multiple Testing to Determine Differentially Expressed Genes -- Quality Analysis and Data Normalization of Spotted Arrays -- Iterative Linear Regresssion by Sector -- Feature Selection, Dimension Reduction, and Discriminative Analysis -- A Method to Improve Detection of Disease Using Selectively Expressed Genes in Microarray Data -- Computational Analysis of Leukemia Microarray Expression Data Using the GA/KNN Method -- Classical Statistical Approaches to Molecular Classification of Cancer from Gene Expression Profiling -- Classification of Acute Leukemia Based on DNA Microarray Gene Expressions Using Partial Least Squares -- Applying Classification Separability Analysis to Microarray Data -- How Many Genes Are Needed for a Discriminant Microarray Data Analysis -- Machine Learning Techniques -- Comparing Symbolic and Subsymbolic Machine Learning Approaches to Classification of Cancer and Gene Identification -- Applying Machine Learning Techniques to Analysis of Gene Expression Data: Cancer Diagnosis.
  • 일반주제명
    Life sciences.
    Human genetics.
    Biochemistry.
    Statistics.
    Life Sciences.
    Biochemistry, general.
    Human Genetics.
    Statistics for Life Sciences, Medicine, Health Sciences.
  • 기본자료 저록
    Springer eBooks
  • 기타형태 저록
    Printed edition: 9781461352815
  • ISBN
    9781461508731
  • 언어
    영어