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Briefings in Bioinformatics|October 14, 2024
Predicting functional outcome in ischemic stroke patients using genetic, environmental, and clinical factors: a machine learning analysis of population-based prospective cohort studySiding Chen, Zhe Xu, Jinfeng Yin, et al.
Briefings in Bioinformatics|May 11, 2026
Biased multi-view contrastive learning with attentive masking for spatial transcriptomic analysisLaiyi Fu, Wenkai Cui, Yifan Chen, et al.
Briefings in Bioinformatics|May 11, 2026
MT-ConBiFormer-GPT: multi-target molecular generation for low-data drug discovery via a contrastive BiFormer-GPT architecture and curriculum learning with cross-domain generalizationRomina Norouzi, Karim Abbasi, Parvin Razzaghi, et al.
Briefings in Bioinformatics|May 11, 2026
Cross-modality representation and multi-sample integration of spatially resolved omics dataZhen Li, Xuejian Cui, Xiaoyang Chen, et al.
Briefings in Bioinformatics|May 11, 2026
Computational paradigms for antimicrobial resistance prediction: integrating multi-omics, structural modeling, and foundation artificial intelligence systemsElias Hossain, Niloofar Yousefi
Briefings in Bioinformatics|May 8, 2026
DiSCO: deconvoluting spatial transcriptomics via combinatorial optimization with a foundational diffusion modelJing Liu, Yahao Wu, Limin Li
Briefings in Bioinformatics|May 24, 2026
A scalable, multi-resolution consensus clustering approach for prioritizing robust signals from high-throughput screensShaine Chenxin Bao, Kathleen I Pishas, Karla J Cowley, et al.
Briefings in Bioinformatics|May 25, 2026
ac4C modification sites prediction in human mRNA: a complete reviewHasan Zulfiqar, Ramala Masood Ahmad, Hao Lin, et al.
Briefings in Bioinformatics|May 25, 2026
WNetAlign: fast and accurate spectra alignment using truncated Wasserstein distance and network simplexJustyna Król, Maria Bochenek, Sylwia Jopa, et al.
Briefings in Bioinformatics|May 25, 2026
Identifying batch-integrated domains from spatial transcriptomics via graph autoencoder with contrastive learning based on cross-modality and data augmentationYexuan Mao, Lijun Quan, Xiangyu Chen, et al.
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