Mining influential genes based on deep learning. - Lingpeng Kong; Yuanyuan Chen; Fengjiao Xu; Mingmin Xu; Zutan Li; Jingya Fang; Liangyun Zhang; Cong Pian (BMC Bioinform., 2021)

Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species. - Zutan Li; Hangjin Jiang; Lingpeng Kong; Yuanyuan Chen; Kun Lang; Xiaodan Fan; Liangyun Zhang; Cong Pian (PLoS Comput. Biol., 2021)

Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture. - Zutan Li; Jingya Fang; Shining Wang; Liangyun Zhang; Yuanyuan Chen; Cong Pian (Briefings Bioinform., 2022)

PlantBind: an attention-based multi-label neural network for predicting plant transcription factor binding sites. - Wenkai Yan; Zutan Li; Cong Pian; Yufeng Wu (Briefings Bioinform., 2022)

Predicting the structure of unexplored novel fentanyl analogues by deep learning model. - Yuan Zhang; Qiaoyan Jiang; Ling Li; Zutan Li; Zhihui Xu; Yuanyuan Chen; Yang Sun; Cheng Liu; Zhengsheng Mao; Feng Chen; Hualan Li; Yue Cao; et al. (Briefings Bioinform., 2022)

NcPath: a novel platform for visualization and enrichment analysis of human non-coding RNA and KEGG signaling pathways. - Zutan Li; Yuan Zhang; Jingya Fang; Zhihui Xu; Hao Zhang; Minfang Mao; Yuanyuan Chen; Liangyun Zhang; Cong Pian (Bioinform., 2023)