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Briefings in Bioinformatics|January 27, 2024
SPANN: annotating single-cell resolution spatial transcriptome data with scRNA-seq dataMusu Yuan, Hui Wan, Zihao Wang, et al.
Briefings in Bioinformatics|August 2, 2023
ReProMSig: an integrative platform for development and application of reproducible multivariable models for cancer prognosis supporting guideline-based transparent reportingTingting Zhao, Lihua Cao, Jiafu Ji, et al.
Briefings in Bioinformatics|July 28, 2023
A dual-modal graph learning framework for identifying interaction events among chemical and biotech drugsZhongying Ru, Yangyang Wu, Jinning Shao, et al.
Briefings in Bioinformatics|August 6, 2023
A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug-drug interaction data and supervised contrastive learningJeonghyeon Gu, Dongmin Bang, Jungseob Yi, et al.
Briefings in Bioinformatics|August 8, 2023
A workflow to study mechanistic indicators for driver gene prediction with MoonlightMona Nourbakhsh, Astrid Saksager, Nikola Tom, et al.
Briefings in Bioinformatics|July 23, 2023
Generative Adversarial Matrix Completion Network based on Multi-Source Data Fusion for miRNA-Disease Associations PredictionShuDong Wang, YunYin Li, YuanYuan Zhang, et al.
Briefings in Bioinformatics|April 8, 2026
Integrated machine learning and molecular dynamics framework for predicting and elucidating ABCB1 allocrite interactionsJianjia Su, Yiyang Wu, Wei Xiong, et al.
Briefings in Bioinformatics|March 18, 2026
Biochemical-knowledge-driven machine learning pipeline for generating potent antimicrobial peptidesDeliang Yang, Yifan Li, Chenxi Li, et al.
Briefings in Bioinformatics|March 26, 2026
Docking of millions: accelerating a million-scale virtual screening using deep learningJunsu Ha, Juyong Lee, Junsu Ko, et al.
Briefings in Bioinformatics|April 20, 2026
NyxBind: enhancing deep neural representations for transcription factor binding site prediction via contrastive learningXu Yang, Qingfa Xiao, Yucheng Xu, et al.
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