Estimation Distribution of Algorithm for Fuzzy Clustering Gene Expression Data. - Feng Liu; Juan Liu 007; Jing Feng 005; Huaibei Zhou (ICNC (2), 2006)

Comprehensive characterization of tissue-specific circular RNAs in the human and mouse genomes. - Siyu Xia; Jing Feng 005; Lijun Lei; Jun Hu; Linjian Xia; Jun Wang 154; Yu Xiang; Lingjun Liu; Shan Zhong; Leng Han; Chunjiang He (Briefings Bioinform., 2017)

Genome-wide characterization of lncRNAs in acute myeloid leukemia. - Lijun Lei; Siyu Xia; Dan Liu; Xiaoqing Li; Jing Feng 005; Yaqi Zhu; Jun Hu; Linjian Xia; Lieping Guo; Fei Chen; Hui Cheng; Ke Chen 013; et al. (Briefings Bioinform., 2018)

PancanQTL: systematic identification of cis-eQTLs and trans-eQTLs in 33 cancer types. - Jing Gong; Shufang Mei; Chun-Jie Liu; Yu Xiang; Youqiong Ye; Zhao Zhang; Jing Feng 005; Renyan Liu; Lixia Diao; An-Yuan Guo; Xiaoping Miao; Leng Han (Nucleic Acids Res., 2018)

CSCD: a database for cancer-specific circular RNAs. - Siyu Xia; Jing Feng 005; Ke Chen 013; Yanbing Ma; Jing Gong; Fangfang Cai; Yuxuan Jin; Yang Gao; Linjian Xia; Hong Chang; Lei Wei; Leng Han; et al. (Nucleic Acids Res., 2018)

CircView: a visualization and exploration tool for circular RNAs. - Jing Feng 005; Yu Xiang; Siyu Xia; Huan Liu; Jun Wang 154; Fatma Muge Ozguc; Lijun Lei; Ruoshan Kong; Lixia Diao; Chunjiang He; Leng Han (Briefings Bioinform., 2019)

Multi-Class Metabolic Pathway Prediction by Graph Attention-Based Deep Learning Method. - Zhihui Yang; Juan Liu 007; Zeyu Wang; Yufan Wang; Jing Feng 005 (BIBM, 2020)

DAAT: A New Method to Train Convolutional Neural Network on Atrial Fibrillation Detection. - Jian Zhang; Juan Liu 007; Pei-Fang Li; Jing Feng 005 (ICIC (3), 2020)

TransMixNet: An Attention Based Double-Branch Model for White Blood Cell Classification and Its Training with the Fuzzified Training Data. - Hua Chen; Juan Liu 007; Chunbing Hua; Zhiqun Zuo; Jing Feng 005; Baochuan Pang; Di Xiao (BIBM, 2021)

CytoBrain: Cervical Cancer Screening System Based on Deep Learning Technology. - Hua Chen; Juan Liu 007; Qing-Man Wen; Zhiqun Zuo; Jiasheng Liu; Jing Feng 005; Bao-Chuan Pang; Di Xiao (J. Comput. Sci. Technol., 2021)

A Context-Guided Attention Method for Integrating Features of Histopathological Patches. - Yuqi Chen 007; Juan Liu 007; Peng Jiang; Jing Feng 005; Dehua Cao; Baochuan Pang (BIBM, 2022)

Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning. - Peng Jiang; Juan Liu 007; Lang Wang; Jing Feng 005; Dehua Cao; Baochuan Pang (BIBM, 2022)

Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification. - Lele Li; Ziling Wu; Juan Liu 007; Lang Wang; Yu Jin; Peng Jiang; Jing Feng 005; Meng Wu (BIBM, 2022)

Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism. - Hua Chen; Juan Liu 007; Chunbing Hua; Jing Feng 005; Baochuan Pang; Dehua Cao; Cheng Li (BMC Bioinform., 2022)

A novel hybrid framework for metabolic pathways prediction based on the graph attention network. - Zhihui Yang; Juan Liu 007; Hayat Ali Shah; Jing Feng 005 (BMC Bioinform., 2022)

DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes. - Hayat Ali Shah; Juan Liu 007; Zhihui Yang; Xiaolei Zhang; Jing Feng 005 (Comput. Biol. Medicine, 2022)

Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification. - Peng Jiang; Juan Liu 007; Lang Wang; Zhihui Yang; Hongyu Dong; Jing Feng 005 (CoRR, 2022)

CSCD2: an integrated interactional database of cancer-specific circular RNAs. - Jing Feng 005; Wenbo Chen 006; Xin Dong; Jun Wang 154; Xiangfei Mei; Jin Deng; Siqi Yang; Chenjian Zhuo; Xiaoyu Huang; Lin Shao; Rongyu Zhang; Jing Guo; et al. (Nucleic Acids Res., 2022)

MSCCNet: Multi-Scale Convolution-Capsule Network for Cervical Cell Classification. - Hua Chen; Juan Liu 007; Peng Jiang; Yu Jin; Jing Feng 005; Baochuan Pang; Dehua Cao; Cheng Li (BIBM, 2023)

SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function Annotation. - Qiang Zhang 031; Juan Liu 007; Feng Yang; Zhihui Yang; Jing Feng 005 (BIBM, 2023)

DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks. - Hayat Ali Shah; Juan Liu 007; Zhihui Yang; Jing Feng 005 (ICIC (3), 2023)

DeepRT: Predicting compounds presence in pathway modules and classifying into module classes using deep neural networks based on molecular properties. - Hayat Ali Shah; Juan Liu 007; Zhihui Yang; Feng Yang; Qiang Zhang 031; Jing Feng 005 (J. Bioinform. Comput. Biol., 2023)

A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis. - Peng Jiang; Xuekong Li; Hui Shen; Yuqi Chen 007; Lang Wang; Hua Chen; Jing Feng 005; Juan Liu 007 (Artif. Intell. Rev., 2023)

Interpretable detector for cervical cytology using self-attention and cell origin group guidance. - Peng Jiang; Juan Liu 007; Jing Feng 005; Hua Chen; Yuqi Chen 007; Cheng Li; Baochuan Pang; Dehua Cao (Eng. Appl. Artif. Intell., 2024)