Data-driven Discovery of a Sepsis Patients Severity Prediction in the ICU via Pre-training BiLSTM Networks. - Qing Li 022; L. Frank Huang; Jiang Zhong; Lili Li; Qi Li 025; Junhao Hu (BIBM, 2019)

Differential regulatory network-based quantification and prioritization of key genes underlying cancer drug resistance based on time-course RNA-seq data. - Jiajun Zhang 008; Wenbo Zhu; Qianliang Wang; Jiayu Gu; L. Frank Huang; Xiaoqiang Sun (PLoS Comput. Biol., 2019)

Network-based prediction of drug-target interactions using an arbitrary-order proximity embedded deep forest. - Xiangxiang Zeng; Siyi Zhu; Yuan Hou; Pengyue Zhang; Lang Li 001; Jing Li; L. Frank Huang; Stephen J. Lewis; Ruth Nussinov; Feixiong Cheng (Bioinform., 2020)

Real-time sepsis severity prediction on knowledge graph deep learning networks for the intensive care unit. - Qing Li 022; Lili Li; Jiang Zhong; L. Frank Huang (J. Vis. Commun. Image Represent., 2020)

Multi-omics to characterize the functional relationships of R-loops with epigenetic modifications, RNAPII transcription and gene expression. - Xingxin Pan; L. Frank Huang (Briefings Bioinform., 2022)