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Briefings in Bioinformatics|December 22, 2022
GSCA: an integrated platform for gene set cancer analysis at genomic, pharmacogenomic and immunogenomic levelsChun-Jie Liu, Fei-Fei Hu, Gui-Yan Xie, et al.
Briefings in Bioinformatics|December 22, 2022
Learning single-cell chromatin accessibility profiles using meta-analytic marker genesRisa Karakida Kawaguchi, Ziqi Tang, Stephan Fischer, et al.
Briefings in Bioinformatics|December 4, 2022
RNAlight: a machine learning model to identify nucleotide features determining RNA subcellular localizationGuo-Hua Yuan, Ying Wang, Guang-Zhong Wang, et al.
Briefings in Bioinformatics|December 6, 2022
A comprehensive assessment of cell type-specific differential expression methods in bulk dataGuanqun Meng, Wen Tang, Emina Huang, et al.
Briefings in Bioinformatics|December 13, 2022
RefTM: reference-guided topic modeling of single-cell chromatin accessibility dataZheng Zhang, Shengquan Chen, Zhixiang Lin
Briefings in Bioinformatics|December 14, 2022
Predicting potential interactions between lncRNAs and proteins via combined graph auto-encoder methodsJingxuan Zhao, Jianqiang Sun, Stella C Shuai, et al.
Briefings in Bioinformatics|December 14, 2022
From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approachHai Yang, Lipeng Gan, Rui Chen, et al.
Briefings in Bioinformatics|July 8, 2022
Resolving single-cell copy number profiling for large datasetsWang Ruohan, Zhang Yuwei, Wang Mengbo, et al.
Briefings in Bioinformatics|November 12, 2019
Network control principles for identifying personalized driver genes in cancerWei-Feng Guo, Shao-Wu Zhang, Tao Zeng, et al.
Briefings in Bioinformatics|November 12, 2019
Computational/in silico methods in drug target and lead predictionFrancis E Agamah, Gaston K Mazandu, Radia Hassan, et al.
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