Integrating text mining with network models for successful target identification: in vitro validation in MASH-induced liver fibrosis

An in silico target discovery pipeline was developed by including a directional and weighted molecular disease network for metabolic dysfunction-associated steatohepatitis (MASH)-induced liver fibrosis. This approach integrates text mining, network biology, and artificial intelligence/machine learni...

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מידע ביבליוגרפי

Principais autores:	Jennifer Venhorst, Roeland Hanemaaijer, Remon Dulos, Martien P. M. Caspers, Karin Toet, Joline Attema, Christa de Ruiter, Gino Kalkman, Tanja Rouhani Rankouhi, Jelle C. B. C. de Jong, Lars Verschuren
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Frontiers Media S.A. 2024-09-01
סדרה:	Frontiers in Pharmacology
נושאים:	disease network target discovery target validation metabolic dysfunction-associated steatohepatitis (MASH) liver fibrosis text mining
גישה מקוונת:	https://www.frontiersin.org/articles/10.3389/fphar.2024.1442752/full
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