StanDep: Capturing transcriptomic variability improves context-specific metabolic models
Author(s) -
Chintan Joshi,
SongMin Schinn,
Anne Richelle,
Isaac Shamie,
Eyleen J. O’Rourke,
Nathan E. Lewis
Publication year - 2020
Publication title -
plos computational biology
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1007764
Subject(s) - context (archaeology) , computer science , identification (biology) , thresholding , computational biology , housekeeping gene , heuristic , transcriptome , data mining , artificial intelligence , machine learning , biology , gene , gene expression , genetics , paleontology , botany , image (mathematics)
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