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Renormalized GSE8191 by using the parametric method

(Submitter supplied) Although principal component analysis is frequently used in multivariate/ analysis, it has disadvantages when applied to experimental or diagnostic data. First, the identified principal components have poor generality; since the size and directions of the components are dependent on the particular data set, the components are valid only within the set. Second, the method is sensitive to experimental noise and bias between sample groups, since it cannot reflect the design of experiments; rather, it estimates the same weight and independence of all the samples in the matrix. more...
Organism:
Mus musculus
Type:
Third-party reanalysis; Expression profiling by array
Download data: TXT
Series
Accession:
GSE31291
ID:
200031291

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