From gene modules to gene markers: an integrated AI-human approach selects CD38 to represent plasma cell-associated transcriptional signatures

BackgroundKnowledge-driven prioritization of candidate genes derived from large-scale molecular profiling data for targeted transcriptional profiling assays is challenging due to the vast amount of biomedical literature that needs to be harnessed. We present a workflow leveraging Large Language Mode...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Basirudeen Syed Ahamed Kabeer, Bishesh Subba, Darawan Rinchai, Mohammed Toufiq, Taushif Khan, Marina Yurieva, Damien Chaussabel
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2025-03-01
Edice:	Frontiers in Medicine
Témata:	large language models gene prioritization targeted transcriptional profiling plasma cell responses CD38 biomarker discovery
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fmed.2025.1510431/full
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!