Código QR (código de barras bidimensional)

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...

Fuld beskrivelse

Na minha lista:
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
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2024-09-01
Serier:Frontiers in Pharmacology
Fag:
disease network
target discovery
target validation
metabolic dysfunction-associated steatohepatitis (MASH)
liver fibrosis
text mining
Online adgang:https://www.frontiersin.org/articles/10.3389/fphar.2024.1442752/full
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker