Open AccessStanDep: 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/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 , transcriptome , heuristic , artificial intelligence , data mining , machine learning , biology , gene , gene expression , genetics , botany , paleontology , image (mathematics)