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

• Main Authors: Jennifer Venhorst (Author), Roeland Hanemaaijer (Author), Remon Dulos (Author), Martien P. M. Caspers (Author), Karin Toet (Author), Joline Attema (Author), Christa de Ruiter (Author), Gino Kalkman (Author), Tanja Rouhani Rankouhi (Author), Jelle C. B. C. de Jong (Author), Lars Verschuren (Author)
• 格式: 圖書
• 出版: Frontiers Media S.A., 2024-09-01T00:00:00Z.
• 主題: article
• 在線閱讀: 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...