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Briefings in Bioinformatics|December 20, 2021
Deep learning tackles single-cell analysis-a survey of deep learning for scRNA-seq analysisMario Flores, Zhentao Liu, Tinghe Zhang, et al.Briefings in Bioinformatics|December 20, 2021
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shapeYongqing Zhang, Zixuan Wang, Yuanqi Zeng, et al.Briefings in Bioinformatics|December 20, 2021
Predicting miRNA-disease associations using an ensemble learning framework with resampling methodQiguo Dai, Zhaowei Wang, Ziqiang Liu, et al.Briefings in Bioinformatics|January 12, 2022
A robust and scalable graph neural network for accurate single-cell classificationYuansong Zeng, Zhuoyi Wei, Zixiang Pan, et al.Briefings in Bioinformatics|January 12, 2022
Learning spatial structures of proteins improves protein-protein interaction predictionBosheng Song, Xiaoyan Luo, Xiaoli Luo, et al.Briefings in Bioinformatics|January 12, 2022
Rare variant association tests for ancestry-matched case-control data based on conditional logistic regressionShanshan Cheng, Jingjing Lyu, Xian Shi, et al.Briefings in Bioinformatics|January 12, 2022
Reconstruction of human protein-coding gene functional association network based on machine learningXiao-Tai Huang, Songwei Jia, Lin Gao, et al.Briefings in Bioinformatics|January 12, 2022
A comprehensive comparison of supervised and unsupervised methods for cell type identification in single-cell RNA-seqXiaobo Sun, Xiaochu Lin, Ziyi Li, et al.Briefings in Bioinformatics|January 17, 2022
A reproducibility analysis-based statistical framework for residue-residue evolutionary coupling detectionYunda Si, Yi Zhang, Chengfei YanBriefings in Bioinformatics|January 17, 2022
GPS-Uber: a hybrid-learning framework for prediction of general and E3-specific lysine ubiquitination sitesChenwei Wang, Xiaodan Tan, Dachao Tang, et al.Pageof 539