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pro vyhledávání: '"Fuadur Omi"'
Autor:
Bishesh Subba, Mohammed Toufiq, Fuadur Omi, Marina Yurieva, Taushif Khan, Darawan Rinchai, Karolina Palucka, Damien Chaussabel
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The identification of optimal candidate genes from large-scale blood transcriptomic data is crucial for developing targeted assays to monitor immune responses. Here, we introduce a novel, optimized large language model (LLM)-based approach f
Externí odkaz:
https://doaj.org/article/ad20bd7ebe984191b76d3ee6fcf8d717