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Briefings in Bioinformatics|December 27, 2022
An evolution-based machine learning to identify cancer type-specific driver mutationsDonghyo Kim, Doyeon Ha, Kwanghwan Lee, et al.Briefings in Bioinformatics|December 28, 2022
A systematic assessment of deep learning methods for drug response prediction: from in vitro to clinical applicationsBihan Shen, Fangyoumin Feng, Kunshi Li, et al.Briefings in Bioinformatics|December 29, 2022
Cooperation of structural motifs controls drug selectivity in cyclin-dependent kinases: an advanced theoretical analysisLingling Wang, Lei Xu, Zhe Wang, et al.Briefings in Bioinformatics|December 22, 2022
spaCI: deciphering spatial cellular communications through adaptive graph modelZiyang Tang, Tonglin Zhang, Baijian Yang, et al.Briefings in Bioinformatics|December 22, 2022
SAM-DTA: a sequence-agnostic model for drug-target binding affinity predictionZhiqiang Hu, Wenfeng Liu, Chenbin Zhang, et al.Briefings in Bioinformatics|December 22, 2022
Comprehensive evaluation of peptide de novo sequencing tools for monoclonal antibody assemblyDenis Beslic, Georg Tscheuschner, Bernhard Y Renard, et al.Briefings in Bioinformatics|December 22, 2022
LncRNA-disease association identification using graph auto-encoder and learning to rankQi Liang, Wenxiang Zhang, Hao Wu, et al.Briefings in Bioinformatics|June 14, 2022
Three-nucleotide periodicity of nucleotide diversity in a population enables the identification of open reading framesMengyun Jiang, Weidong Ning, Shishi Wu, et al.Briefings in Bioinformatics|June 16, 2022
BayeshERG: a robust, reliable and interpretable deep learning model for predicting hERG channel blockersHyunho Kim, Minsu Park, Ingoo Lee, et al.Briefings in Bioinformatics|June 1, 2022
KLFDAPC: a supervised machine learning approach for spatial genetic structure analysisXinghu Qin, Charleston W K Chiang, Oscar E GaggiottiPageof 538