Έλεγχος πολλαπλών υποθέσεων σε μικροσυστοιχίες DNA
Master Thesis
Date
2007-11-02View/
Subject
DNA microarrays -- Statistical methods ; Multivariate analysis ; DNA microarrays -- MethodologyAbstract
DNA microarrays are part of a new and promising class of biotechnologie that allows us to look at thousands of genes at once and determine which are expressed in a particular cell type. The biological question of differential expression can be restated as a problem in multiple hypothesis testing: the simultaneous test for each gene of the null hypothesis of no association between the expression levels and some responses or covariates. The purpose of the present study is to investigate and present different approaches to multiple hypothesis testing in the context of DNA microarray experiments and introduce algorithms for implementing the minP and maxT adjustment to control the family wise error rate as well as a bootstrap algorithm for the determination of the raw p-values. These statistical methods were applied on two real data sets, from leukemia patients and patient with breast cancer. The analysis was carried out using the Mathematica and the R-package.
Language
GreekCollections
Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 4.0 Διεθνές
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 4.0 Διεθνές