A new INDEL detection strategy based on feature extraction. - Fei Qi; Jing-Yang Gao (J. Comput. Methods Sci. Eng., 2015)

A high-precision shallow Convolutional Neural Network based strategy for the detection of Genomic Deletions. - Jing Wang 043; Cheng Ling; Jing-Yang Gao (BIBM, 2016)

Concod: Accurate consensus-based approach of calling deletions from high-throughput sequencing data. - Xiaodong Zhang; Chong Chu; Yao Zhang; Yufeng Wu; Jingyang Gao (BIBM, 2016)

MrBayes 3.2.6 on Tianhe-1A: A High Performance and Distributed Implementation of Phylogenetic Analysis. - Cheng Ling; Arong Luo; Jing-Yang Gao (ICPADS, 2016)

Phylogenetic Likelihood Estimation on GPUs Using Vertical Partitioning Scheme. - Cheng Ling; Jing-Yang Gao; Gang Lu (Trustcom/BigDataSE/ISPA, 2016)

MrBayes tgMC3++: A High Performance and Resource-Efficient GPU-Oriented Phylogenetic Analysis Method. - Cheng Ling; Tsuyoshi Hamada; Jing-Yang Gao; Guoguang Zhao; Donghong Sun; Weifeng Shi (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

An efficient CNN-based classification on G-protein Coupled Receptors using TF-IDF and N-gram. - Man Li; Cheng Ling; Jing-Yang Gao (ISCC, 2017)

Concod: an effective integration framework of consensus-based calling deletions from next-generation sequencing data. - Lei Cai; Chong Chu; Xiaodong Zhang; Yufeng Wu; Jingyang Gao (Int. J. Data Min. Bioinform., 2017)

基于特征挖掘的基因组缺失变异集成检测方法 (Integrated Feature Mining Based Approach for Calling Genomic Deletions). - Xiaodong Zhang; Cheng Ling; Jingyang Gao (计算机科学, 2017)

cnnCNV: A Sensitive and Efficient Method for Detecting Copy Number Variation based on Convolutional Neural Networks. - Miaosen Ding; Jing-Yang Gao; Cheng Ling; Liwei Gao (BIBM, 2018)

Classification of G-protein Coupled Receptors Based on Semi-navïe Bayesian Inference. - Cheng Ling; Lin Yue; Jing-Yang Gao (BIBM, 2018)

GPU Parallelism of Phylogenetic Likelihood Estimates for Protein Data. - Yichan Li; Jing-Yang Gao; Cheng Ling; Haoyu Zhang (HPCC/SmartCity/DSS, 2018)

An Integrated Method of Detecting Copy Number Variation Based on Sequence Assembly. - Weiwei Liu; Jingyang Gao (ICIC (1), 2018)

Deletion genotype calling on the basis of sequence visualisation and image classification. - Jing Wang 043; Jing-Yang Gao; Cheng Ling (Int. J. Data Min. Bioinform., 2018)

基于深度学习的胃癌病理图像分类方法 (Pathological Image Classification of Gastric Cancer Based on Depth Learning). - Zezhong Zhang; Jingyang Gao; Gang Lv; Di Zhao (计算机科学, 2018)

CnnSV-Typer: Calling of Structural Variation Genotype Based on CUDA Acceleration. - Ruofei Bai; Liwei Gao; Cheng Ling; Jingyang Gao (HPCC/SmartCity/DSS, 2019)

Integrated Detection of Copy Number Variation Based on the Assembly of NGS and 3GS Data. - Feng Gao; Liwei Gao; Jing-Yang Gao (IWBBIO (1), 2019)

DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network. - Lei Cai; Yufeng Wu; Jingyang Gao (BMC Bioinform., 2019)

scSNVIndel. accurate and efficient calling of SNVs and indels from single cell sequencing using integrated Bi-LSTM. - Lei Cai; Yufeng Wu; Jingyang Gao (BIBM, 2020)

A novel synonymous processing method based on amino acid substitution matrics for the classification of G-protein-coupled receptors. - Cheng Ling; Yitian Shen; Jingyang Gao (BIBM, 2020)

iSchood: a Tool Software for Identifying Suspicious Copied Homework Documents with Definitive Contents. - Gang Lu; Jingyang Gao; Ruiqi Li (ICCSE, 2020)

Amplification Method of Lung Nodule Data Based on DCGAN Generation Algorithm. - Minghao Yu; Lei Cai; Liwei Gao; Jingyang Gao (ICPCSEE (1), 2020)

IMDSVs: An integrated method based on machine learning and deep learning of calling structural variations from long-read data. - Yaoxian Lv; Lei Cai; Jingyang Gao (ICCSE, 2021)

An efficient scRNA-seq dropout imputation method using graph attention network. - Chenyang Xu; Lei Cai; Jingyang Gao (BMC Bioinform., 2021)

Cnngeno: A high-precision deep learning based strategy for the calling of structural variation genotype. - Ruofei Bai; Cheng Ling; Lei Cai; Jingyang Gao (Comput. Biol. Chem., 2021)

GcnSV: A Method Based on Deep Learning of Calling Structural Variations from the Third-Generation Sequencing Data. - Meng Huang; Han Wang; Jingyang Gao (ICCSE (3), 2022)

Gene Variation Detection Approach Based on Multimodal Data Fusion. - Yu Li; Yimin Cao; Jingyang Gao (ICCSE (1), 2022)

Lossless segmentation of cardiac medical images by a resolution consistent network with nondamage data preprocessing. - Yifan Yan; Chenglizhao Chen; Jingyang Gao (Multim. Tools Appl., 2023)

DeepHipp: accurate segmentation of hippocampus using 3D dense-block based on attention mechanism. - Han Wang; Cai Lei; Di Zhao; Liwei Gao; Jingyang Gao (BMC Medical Imaging, 2023)

GGN-GO: geometric graph networks for predicting protein function by multi-scale structure features. - Jia Mi; Han Wang; Jing Li; Jinghong Sun; Chang Li; Jing Wan; Yuan Zeng; Jingyang Gao (Briefings Bioinform., 2024)

Deletion variants calling in third-generation sequencing data based on a dual-attention mechanism. - Han Wang; Chang Li; Xinyu Yu; Jingyang Gao (Briefings Bioinform., 2024)

DeepPFP: a multi-task-aware architecture for protein function prediction. - Han Wang; Zilin Ren; Jinghong Sun; Yongbing Chen; Xiaochen Bo; Jiguo Xue; Jingyang Gao; Ming Ni (Briefings Bioinform., 2024)

ViroISDC: a method for calling integration sites of hepatitis B virus based on feature encoding. - Lei Qiao; Chang Li; Wei Lin; Xiaoqi He; Jia Mi; Yigang Tong; Jingyang Gao (BMC Bioinform., 2024)

MTAF-DTA: multi-type attention fusion network for drug-target affinity prediction. - Jinghong Sun; Han Wang; Jia Mi; Jing Wan; Jingyang Gao (BMC Bioinform., 2024)

VirNucPro: an identifier for the identification of viral short sequences using six-frame translation and large language models. - Jing Li; Jia Mi; Wei Lin; Fengjuan Tian; Jing Wan; Jingyang Gao; Yigang Tong (Briefings Bioinform., 2025)

MGMA-DTI: Drug target interaction prediction using multi-order gated convolution and multi-attention fusion. - Chang Li; Jia Mi; Han Wang; Zhikang Liu; Jingyang Gao; Jing Wan (Comput. Biol. Chem., 2025)