False discoveries among the genes
Section of High-dimensional analysis, part of Statistical learning
False discoveries among the genes
| Type | Section |
| Taught in | High-dimensional analysis |
| Part | Statistical learning |
A Welch t-test was run for each gene, comparing the tumour and normal groups, using Benjamini–Hochberg at nominal level 0.01. Under the required null calibration and dependence assumptions, this targets an expected false-discovery proportion at most 1\%. It does not cap the false fraction in this realised gene list. The procedure declared 173 genes significant. Twelve of the 20 top third-component genes were among them,
1635,\;493,\;625,\;765,\;1511,\;1634,\;1153,\;992,\;1293,\;1002,\;1959,\;609,
and one of the top sixth-component genes, gene 286.
Used in
See also
Rank bound · Family-wise control implies false-discovery control · Benjamini–Hochberg · Benjamini–Hochberg controls the false discovery rate · Why classical methods fail when p > n · Rank of the sample covariance · Regression when p > n · Where high-dimensional columns come from