Last edited by Kagam
Thursday, May 14, 2020 | History

5 edition of Methods of microarray data analysis II found in the catalog.

Methods of microarray data analysis II

papers from CAMDA "01

by CAMDA (Conference) (2nd 2001 Duke University Medical Center)

  • 344 Want to read
  • 30 Currently reading

Published by Kluwer Academic in Boston .
Written in English

    Subjects:
  • DNA microarrays -- Data processing -- Congresses.

  • Edition Notes

    Statementedited by Simon M. Lin and Kimberly F. Johnson.
    GenreCongresses.
    ContributionsLin, Simon M., 1957-, Johnson, Kimberly F., 1972-
    Classifications
    LC ClassificationsQP624.5.D726 C36 2002
    The Physical Object
    Paginationviii, 214 p. :
    Number of Pages214
    ID Numbers
    Open LibraryOL22550848M
    ISBN 101402071116

      Microarray Data Analysis. Microarray data sets are commonly very large, and analytical precision is influenced by a number of variables. So it is extremely useful to reduce the dataset to Cited by: Two typical approaches of pattern recognition analysis of HTS data are illustrated in Fig. 10 using data from a element library of organic coatings as an example. Optical spectra of an array of 48 .

    Statistics for Microarrays: Design, Analysis and Inference is the first book that presents a coherent and systematic overview of statistical methods in all stages in the process of analysing microarray data – . Sections 3, 4, 5 are applied to gene expression data from two recently published microarray studies described in Section 6. The results from the studies are discussed in Section 7, and nally, Section 8 . SAM: Significance Analysis of Microarray Data. 3. For each gene, compute d-value (analogous to t-statistic). This is the observed d-value. The term is here to deal with cases when the variance gets too .

    Written for biologists and medical researchers who dont have any special training in data analysis and statistics, Guide to Analysis of DNA Microarray Data, Second Edition begins where DNA array . other more accurate methods rather than trying to eliminate the biases and noise in the microarray-based measurements by performing many replicate arrays or reverse fluor experiments (2-color arrays). Other Analysis of Microarray Data ng the number of genes/conditions that need to be considered • Principal Component Analysis (Raychaudhuri et al, , Alter et al, ) • Independent File Size: 4MB.


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Methods of microarray data analysis II by CAMDA (Conference) (2nd 2001 Duke University Medical Center) Download PDF EPUB FB2

SyntaxTextGen not activatedpdf Gene data can be “translated” into IDs from a wide variety of sequence databases: – LocusLink, Ensembl, UniGene, RefSeq, genome databases – Each database in turn links to a lot of different File Size: 1MB.• Causton HC et al.

Microarray Gene Expression Data Analysis: A Beginner’s Guide. Blackwell, • Speed, T. (ed.) Statistical Analysis of Microarray Data. Chapman & Hall, • Smyth GK et al. File Size: KB.7. Missing Ebook in Array Data. 8. Saturated Intensity Readings. Part II: Statistical Models and Analysis.

9. Experimental Design. ANOVA Models for Microarray Data. Multiple Testing in Microarray .