5 edition of Methods of microarray data analysis II found in the catalog.
|Statement||edited by Simon M. Lin and Kimberly F. Johnson.|
|Contributions||Lin, Simon M., 1957-, Johnson, Kimberly F., 1972-|
|LC Classifications||QP624.5.D726 C36 2002|
|The Physical Object|
|Pagination||viii, 214 p. :|
|Number of Pages||214|
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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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 .