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2020 – today
- 2024
[j14]Han Wang, Chang Li, Xinyu Yu, Jingyang Gao:
Deletion variants calling in third-generation sequencing data based on a dual-attention mechanism. Briefings Bioinform. 25(4) (2024)- [j13]Jia Mi
, Han Wang, Jing Li, Jinghong Sun, Chang Li, Jing Wan, Yuan Zeng, Jingyang Gao:
GGN-GO: geometric graph networks for predicting protein function by multi-scale structure features. Briefings Bioinform. 25(6) (2024) - [j12]Lei Qiao, Chang Li, Wei Lin, Xiaoqi He, Jia Mi, Yigang Tong, Jingyang Gao:
ViroISDC: a method for calling integration sites of hepatitis B virus based on feature encoding. BMC Bioinform. 25(1): 177 (2024) - 2023
- [j11]Han Wang, Cai Lei, Di Zhao, Liwei Gao, Jingyang Gao:
DeepHipp: accurate segmentation of hippocampus using 3D dense-block based on attention mechanism. BMC Medical Imaging 23(1): 158 (2023) - [j10]Yifan Yan, Chenglizhao Chen, Jingyang Gao:
Lossless segmentation of cardiac medical images by a resolution consistent network with nondamage data preprocessing. Multim. Tools Appl. 82(14): 20951-20973 (2023) - 2022
- [c18]Meng Huang, Han Wang, Jingyang Gao:
GcnSV: A Method Based on Deep Learning of Calling Structural Variations from the Third-Generation Sequencing Data. ICCSE (3) 2022: 397-409 - [c17]Yu Li, Yimin Cao, Jingyang Gao:
Gene Variation Detection Approach Based on Multimodal Data Fusion. ICCSE (1) 2022: 677-689 - 2021
- [j9]Chenyang Xu, Lei Cai, Jingyang Gao:
An efficient scRNA-seq dropout imputation method using graph attention network. BMC Bioinform. 22(1): 582 (2021) - [j8]Ruofei Bai, Cheng Ling, Lei Cai, Jingyang Gao:
Cnngeno: A high-precision deep learning based strategy for the calling of structural variation genotype. Comput. Biol. Chem. 94: 107417 (2021) - [c16]Yaoxian Lv, Lei Cai, Jingyang Gao:
IMDSVs: An integrated method based on machine learning and deep learning of calling structural variations from long-read data. ICCSE 2021: 1077-1080 - 2020
- [c15]Lei Cai, Yufeng Wu, Jingyang Gao:
scSNVIndel. accurate and efficient calling of SNVs and indels from single cell sequencing using integrated Bi-LSTM. BIBM 2020: 173-179 - [c14]Cheng Ling, Yitian Shen, Jingyang Gao:
A novel synonymous processing method based on amino acid substitution matrics for the classification of G-protein-coupled receptors. BIBM 2020: 451-454 - [c13]Gang Lu, Jingyang Gao, Ruiqi Li:
iSchood: a Tool Software for Identifying Suspicious Copied Homework Documents with Definitive Contents. ICCSE 2020: 511-516 - [c12]Minghao Yu, Lei Cai, Liwei Gao, Jingyang Gao:
Amplification Method of Lung Nodule Data Based on DCGAN Generation Algorithm. ICPCSEE (1) 2020: 563-576
2010 – 2019
- 2019
- [j7]Lei Cai, Yufeng Wu, Jingyang Gao:
DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network. BMC Bioinform. 20(1): 665 (2019) - [c11]Ruofei Bai, Liwei Gao, Cheng Ling, Jingyang Gao:
CnnSV-Typer: Calling of Structural Variation Genotype Based on CUDA Acceleration. HPCC/SmartCity/DSS 2019: 2461-2466 - [c10]Feng Gao, Liwei Gao, Jing-Yang Gao:
Integrated Detection of Copy Number Variation Based on the Assembly of NGS and 3GS Data. IWBBIO (1) 2019: 251-260 - 2018
- [j6]Jing Wang, Jing-Yang Gao, Cheng Ling:
Deletion genotype calling on the basis of sequence visualisation and image classification. Int. J. Data Min. Bioinform. 20(2): 109-122 (2018) - [j5]Zezhong Zhang, Jingyang Gao, Gang Lv, Di Zhao:
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). 计算机科学 45(11A): 263-268 (2018) - [c9]Cheng Ling, Lin Yue, Jing-Yang Gao:
Classification of G-protein Coupled Receptors Based on Semi-navïe Bayesian Inference. BIBM 2018: 2262-2268 - [c8]Miaosen Ding, Jing-Yang Gao, Cheng Ling, Liwei Gao:
cnnCNV: A Sensitive and Efficient Method for Detecting Copy Number Variation based on Convolutional Neural Networks. BIBM 2018: 2744-2746 - [c7]Yichan Li, Jing-Yang Gao, Cheng Ling, Haoyu Zhang:
GPU Parallelism of Phylogenetic Likelihood Estimates for Protein Data. HPCC/SmartCity/DSS 2018: 632-639 - [c6]Weiwei Liu, Jingyang Gao:
An Integrated Method of Detecting Copy Number Variation Based on Sequence Assembly. ICIC (1) 2018: 589-594 - 2017
- [j4]Lei Cai, Chong Chu, Xiaodong Zhang, Yufeng Wu, Jingyang Gao:
Concod: an effective integration framework of consensus-based calling deletions from next-generation sequencing data. Int. J. Data Min. Bioinform. 17(2): 153-172 (2017) - [j3]Xiaodong Zhang, Cheng Ling, Jingyang Gao:
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). 计算机科学 44(1): 80-83 (2017) - [c5]Man Li, Cheng Ling, Jing-Yang Gao:
An efficient CNN-based classification on G-protein Coupled Receptors using TF-IDF and N-gram. ISCC 2017: 924-931 - 2016
- [j2]Cheng Ling, Tsuyoshi Hamada, Jing-Yang Gao, Guoguang Zhao, Donghong Sun, Weifeng Shi:
MrBayes tgMC3++: A High Performance and Resource-Efficient GPU-Oriented Phylogenetic Analysis Method. IEEE ACM Trans. Comput. Biol. Bioinform. 13(5): 845-854 (2016) - [c4]Xiaodong Zhang, Chong Chu, Yao Zhang, Yufeng Wu, Jingyang Gao:
Concod: Accurate consensus-based approach of calling deletions from high-throughput sequencing data. BIBM 2016: 72-77 - [c3]Jing Wang, Cheng Ling, Jing-Yang Gao:
A high-precision shallow Convolutional Neural Network based strategy for the detection of Genomic Deletions. BIBM 2016: 1806-1813 - [c2]Cheng Ling, Arong Luo, Jing-Yang Gao:
MrBayes 3.2.6 on Tianhe-1A: A High Performance and Distributed Implementation of Phylogenetic Analysis. ICPADS 2016: 1181-1186 - [c1]Cheng Ling, Jing-Yang Gao, Gang Lu:
Phylogenetic Likelihood Estimation on GPUs Using Vertical Partitioning Scheme. Trustcom/BigDataSE/ISPA 2016: 1210-1217 - 2015
- [j1]Fei Qi, Jing-Yang Gao:
A new INDEL detection strategy based on feature extraction. J. Comput. Methods Sci. Eng. 15(2): 143-150 (2015)
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last updated on 2024-12-02 21:31 CET by the dblp team
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