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2020 – today
- 2022
[j4]Xingxin Pan
, L. Frank Huang:
Multi-omics to characterize the functional relationships of R-loops with epigenetic modifications, RNAPII transcription and gene expression. Briefings Bioinform. 23(4) (2022)- 2020
- [j3]Xiangxiang Zeng, Siyi Zhu, Yuan Hou, Pengyue Zhang, Lang Li, Jing Li, L. Frank Huang, Stephen J. Lewis, Ruth Nussinov, Feixiong Cheng:
Network-based prediction of drug-target interactions using an arbitrary-order proximity embedded deep forest. Bioinform. 36(9): 2805-2812 (2020) - [j2]Qing Li, Lili Li, Jiang Zhong, L. Frank Huang:
Real-time sepsis severity prediction on knowledge graph deep learning networks for the intensive care unit. J. Vis. Commun. Image Represent. 72: 102901 (2020)
2010 – 2019
- 2019
- [j1]Jiajun Zhang, Wenbo Zhu, Qianliang Wang, Jiayu Gu, L. Frank Huang, Xiaoqiang Sun:
Differential regulatory network-based quantification and prioritization of key genes underlying cancer drug resistance based on time-course RNA-seq data. PLoS Comput. Biol. 15(11) (2019) - [c1]Qing Li, L. Frank Huang, Jiang Zhong, Lili Li, Qi Li, Junhao Hu:
Data-driven Discovery of a Sepsis Patients Severity Prediction in the ICU via Pre-training BiLSTM Networks. BIBM 2019: 668-673
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