Using mixture beta models to estimate the proportion of true null hypotheses in the multiple hypotheses testing
碩士 === 國立臺北大學 === 統計學系 === 98 === Microarrays can be used to detect the expression of thousands of genes. After the gene expression is measured, investigators may try to identify these genes for which there is differential expression across groups. Controlling the overall Type I error (α) is an impo...
Main Authors: | LIN, YU-HSING, 林育興 |
---|---|
Other Authors: | WANG, CHUN-CHAO |
Format: | Others |
Language: | zh-TW |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/47321897616250445584 |
Similar Items
-
Estimating the Proportion of True Null Hypotheses in Multiple Testing Problems
by: Oluyemi Oyeniran, et al.
Published: (2016-01-01) -
Estimating the Proportion of True Null Hypotheses in Multiple Testing Problems
by: Oyeniran, Oluyemi
Published: (2016) -
Estimating the Proportion of True Null Hypotheses for Multiple Comparisons
by: R.W. Doerge, et al.
Published: (2008-01-01) -
Towards accurate estimation of the proportion of true null hypotheses in multiple testing.
by: Shu-Dong Zhang
Published: (2011-01-01) -
Using mixture models to estimate the number of true null hypotheses in the multiple comparison
by: HSU, CHIAN-YOU, et al.
Published: (2008)