Thomas Sherman

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Summary Non-negative Matrix Factorization (NMF) algorithms associate gene expression with biological processes (e.g. time-course dynamics or disease subtypes). Compared with univariate associations, the relative weights of NMF solutions can obscure biomarkers. Therefore, we developed a novel patternMarkers statistic to extract genes for biological(More)
Recently I. E. Segal [2] has proposed a study of the unitary representations of a complex semisimple Lie group G by studying "analytic" holomorphic representations of G by normal operators. To this end he proved that every unitary representation U of G may be written U(g)=R(g)R(g~1)* (gEG) where R is an analytic holomorphic representation of G by normal(More)
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