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

• Główni autorzy: Jennifer Venhorst (Autor), Roeland Hanemaaijer (Autor), Remon Dulos (Autor), Martien P. M. Caspers (Autor), Karin Toet (Autor), Joline Attema (Autor), Christa de Ruiter (Autor), Gino Kalkman (Autor), Tanja Rouhani Rankouhi (Autor), Jelle C. B. C. de Jong (Autor), Lars Verschuren (Autor)
• Format: Książka
• Wydane: Frontiers Media S.A., 2024-09-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

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...