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Learning robust gene expression embeddings for disease subtyping, biomarker identification and cross-species alignment

2025-01-03

Abstract excerpt

High dimension gene expression measurements such as microarray and RNA-seq data, are often plagued by sources of unwanted variation. This variability can lead to the obscuring of meaningful biological signal by technical noise and non-interesting biological variation, thus resulting in failure to identify the same set of targets and biomarkers in independent studies. This phenomenon contributes to the so-call...

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Literature Corpus work
1859d2a4-4e20-5f8a-9670-11172e011c21
DOI
10.1101/2025.01.03.631230
Open publication

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Learning robust gene expression embeddings for disease subtyping, biomarker identification and cross-species alignmentDOI 10.1101/2025.01.03.631230
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