BioLM-NET: an interpretable deep learning model combining prior biological knowledge and contextual LLM gene embeddings on multi-omics data to predict disease
BioLM-NET：一种可解释的深度学习模型，结合先验生物学知识和基于多组学数据的上下文LLM基因嵌入，用于预测疾病。
期刊:Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
影响因子:
doi:10.1142/9789819824755_0047
Rifat, Jubair Ibn Malik; Tabashum, Thasina; Rahman, Md Marufi; Mokter, Md Farhad; Engala, Sarthak; Bozdag, Serdar
