mosGraphGPT: a foundation model for multi-omic signaling graphs using generative AI.


Journal

bioRxiv : the preprint server for biology
ISSN: 2692-8205
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
06 Aug 2024
Historique:
medline: 16 8 2024
pubmed: 16 8 2024
entrez: 16 8 2024
Statut: epublish

Résumé

Generative pretrained models represent a significant advancement in natural language processing and computer vision, which can generate coherent and contextually relevant content based on the pre-training on large general datasets and fine-tune for specific tasks. Building foundation models using large scale omic data is promising to decode and understand the complex signaling language patterns within cells. Different from existing foundation models of omic data, we build a foundation model,

Identifiants

pubmed: 39149314
doi: 10.1101/2024.08.01.606222
pmc: PMC11326168
pii:
doi:

Types de publication

Journal Article Preprint

Langues

eng

Auteurs

Classifications MeSH