Xin Gao

发表

An ensemble contrastive classification framework for imbalanced learning with sample-neighbors pair construction

Xin Jia, Xin Gao, Jing Liu, 2022, Knowl. Based Syst..

NASMDR: a framework for miRNA-drug resistance prediction using efficient neural architecture search and graph isomorphism networks

Qichang Zhao, Jianxin Wang, Haochen Zhao, 2022, Briefings Bioinform..

Discovering trends and hotspots of biosafety and biosecurity research via machine learning

Renchu Guan, Dong Xu, Yanchun Liang, 2022, Briefings Bioinform..

Impact of computational approaches in the fight against COVID-19: an AI guided review of 17 000 studies

Xiaopeng Xu, Xin Gao, F. Napolitano, 2021, Briefings Bioinform..

Accelerating bioactive peptide discovery via mutual information-based meta-learning

Balachandran Manavalan, Leyi Wei, R. Su, 2021, Briefings Bioinform..

Supervised graph co-contrastive learning for drug-target interaction prediction

Guohua Wang, Xin Gao, Yang Li, 2022, Bioinform..

A universal framework for single-cell multi-omics data integration with graph convolutional networks

Shan Li, Bin Yu, Xin Gao, 2023, Briefings Bioinform..

Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network

Gongning Luo, Qiang Yang, Xin Gao, 2023, Briefings Bioinform..

DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape

Bin Yu, Xinyu Zhang, Guozhu Liu, 2023, Briefings Bioinform..

BlockPolish: accurate polishing of long-read assembly via block divide-and-conquer

Neng Huang, Jianxin Wang, F. Luo, 2021, Briefings Bioinform..

SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug–target interactions

W. Wang, Kuanquan Wang, P. Xuan, 2023, Bioinformatics advances.

MULGA, a unified multi-view graph autoencoder-based approach for identifying drug–protein interaction and drug repositioning

Shanshan Li, Hui Liu, Lin Zhang, 2023, Bioinform..

Designing succinct structural alphabets

Shuai Cheng Li, Xin Gao, Ming Li, 2008, ISMB.