Publication Date:
2017-09-21
Description:
Identifying therapeutic targets by combining transcriptional data with ordinal clinical measurements Nature Communications, Published online: 20 September 2017; doi:10.1038/s41467-017-00353-6 Identifying gene subsets affecting disease phenotypes from transcriptome data is challenge. Here, the authors develop a method that combines transcriptional data with disease ordinal clinical measurements to discover a sphingolipid metabolism regulator involving in Huntington’s disease progression.
Electronic ISSN:
2041-1723
Topics:
Biology
,
Chemistry and Pharmacology
,
Natural Sciences in General
,
Physics
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