Jingyang Gao

发表

An efficient version of inverse boosting for classification

Qunxiong Zhu, Jingyang Gao, Chenglizhao Chen, 2013 .

MLFSdel: An accurate approach to discover genome deletions

Jingyang Gao, Yao Zhang, 2017 .

InvBFM: finding genomic inversions from high-throughput sequence data based on feature mining

Jingyang Gao, Y. Wu, Zhongjia Wu, 2020, BMC Genomics.

Integrated Sequence Assembly-based Approach for Calling Genomic Long Insertion

Jingyang Gao, L. Ye, 2017 .

The Chinese English dictionary : An online resource for Chinese English lexicography

Jingyang Gao, Melissa Xiaohui Qin, 2020, World Englishes.

Classification of G-protein Coupled Receptors Based on Semi-navïe Bayesian Inference

Cheng Ling, Jing-Yang Gao, Lin Yue, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An efficient scRNA-seq dropout imputation method using graph attention network

Jingyang Gao, Chenyang Xu, Lei Cai, 2021, BMC bioinformatics.

Integrated Detection of Copy Number Variation Based on the Assembly of NGS and 3GS Data

Feng Gao, Jing-Yang Gao, Liwei Gao, 2019, IWBBIO.

DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network

Yufeng Wu, Lei Cai, Jingyang Gao, 2019, BMC Bioinformatics.

MrBayes tgMC3++: A High Performance and Resource-Efficient GPU-Oriented Phylogenetic Analysis Method

Tsuyoshi Hamada, Cheng Ling, Donghong Sun, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Phylogenetic Likelihood Estimation on GPUs Using Vertical Partitioning Scheme

Gang Lu, Cheng Ling, Jing-Yang Gao, 2016, 2016 IEEE Trustcom/BigDataSE/ISPA.

Concod: an effective integration framework of consensus-based calling deletions from next-generation sequencing data

Xiaodong Zhang, Yufeng Wu, Lei Cai, 2017, Int. J. Data Min. Bioinform..

MaxDEL: Accurate and Efficient Calling Genomic Deletions From Single Molecular Real-Time Sequencing Using Integrated Method

Jingyang Gao, Yaoxian Lv, Lei Cai, 2021 .

Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments

Qi Xu, Cheng Ling, Man Li, 2018, Amino Acids.

Machine-learning-aided precise prediction of deletions with next-generation sequencing

Jingyang Gao, Rui Guan, 2016, Journal of Central South University.

Machine-learning-aided precise prediction of deletions with next-generation sequencing

Rui Guan, Jingyang Gao, Jingyang Gao, 2016 .

A review of the application of deep learning in medical image classification and segmentation

Di Zhao, Lei Cai, Jingyang Gao, 2020, Annals of translational medicine.

A novel synonymous processing method based on amino acid substitution matrics for the classification of G-protein-coupled receptors

Cheng Ling, Jingyang Gao, Yitian Shen, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Resource optimization model using novel extreme learning machine with t-distributed stochastic neighbor embedding: Application to complex industrial processes

Zhiqiang Geng, Yongming Han, Jingyang Gao, 2021 .

Lossless segmentation of cardiac medical images by a resolution consistent network with nondamage data preprocessing

Jingyang Gao, Chenglizhao Chen, Yifan Yan, 2022, Multimedia Tools and Applications.

Strategies for Improving Accuracy of Structural Variation Prediction Using Read Pairs

Fei Qi, Jingyang Gao, Rui Guan, 2013, 2013 International Conference on Information Science and Cloud Computing Companion.

CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural Networks

Jing Wang, Cheng Ling, Jingyang Gao, 2017, BioMed research international.

An efficient CNN-based classification on G-protein Coupled Receptors using TF-IDF and N-gram

Cheng Ling, Man Li, Jing-Yang Gao, 2017, 2017 IEEE Symposium on Computers and Communications (ISCC).

CTCs Detection and Whole-exome Sequencing Might Be Used to Differentiate Benign and Malignant Pulmonary Nodules

Hongliang Sun, Xiaohong Liu, Jingyang Gao, 2023, Zhongguo fei ai za zhi = Chinese journal of lung cancer.

Amplification Method of Lung Nodule Data Based on DCGAN Generation Algorithm

Lei Cai, Jingyang Gao, Minghao Yu, 2020, ICPCSEE.

A new INDEL detection strategy based on feature extraction

Fei Qi, Jing-Yang Gao, Jingyang Gao, 2015, J. Comput. Methods Sci. Eng..

scSNVIndel. accurate and efficient calling of SNVs and indels from single cell sequencing using integrated Bi-LSTM

Yufeng Wu, Lei Cai, Jingyang Gao, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

GPU Parallelism of Phylogenetic Likelihood Estimates for Protein Data

Haoyu Zhang, Cheng Ling, Jing-Yang Gao, 2018, 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

MrBayes 3.2.6 on Tianhe-1A: A High Performance and Distributed Implementation of Phylogenetic Analysis

Cheng Ling, Arong Luo, Jing-Yang Gao, 2016, 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS).

cnnCNV: A Sensitive and Efficient Method for Detecting Copy Number Variation based on Convolutional Neural Networks

Cheng Ling, Jing-Yang Gao, Miaosen Ding, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An Integrated Method of Detecting Copy Number Variation Based on Sequence Assembly

Weiwei Liu, Jingyang Gao, Jingyang Gao, 2018, ICIC.