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The Proportion of True Null Hypotheses in Microarray Gene Expression Data

Description:

Microarray technology is extensively used today in many applications. One of its uses is discovering sets of genes that are most likely to be related to cancer. Typically, based on microarray data, a statistical test is conducted for each of thousands of genes simultaneously. In a two-group...

Author:

Markitsis, Anastasios

Keyword:

artificial censoring, false discovery rate, microarrays, proportion of true null hypotheses, gene expression, and beta mixture model

GW Unit:

Statistics

Degree:

Ph.D.

Advisor:

Lai, Yinglei

Committee Member(s):

Pan, Qing, Tadesse, Mahlet, Li, Zhaohai, and Stroud, Jonathan

Resource Type:

Thesis or Dissertation