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Bioinformatics Advances|August 29, 2026
Deep active learning-based experimental design to uncover synergistic genetic interactions for host-targeted therapeuticsHaonan Zhu, Mary Silva, Jose Cadena, et al.
Bioinformatics Advances|August 23, 2026
seqme: a Python library for evaluating biological sequence design from generative modelsRasmus Møller-Larsen, Adam Izdebski, Jan Olszewski, et al.
Bioinformatics Advances|August 25, 2026
LAFA: a framework for reproducible longitudinal assessment of protein function annotation modelsAn Phan, Yanli Wang, Frimpong Boadu, et al.
Bioinformatics Advances|September 17, 2026
MiLaSol: modeling protein solubility by mixing up multiple protein language modelsWeiwei Lou, Mert Erden, Lenore Cowen
Bioinformatics Advances|September 21, 2026
AINR: attention-guided implicit neural representations for spatial domain identification in spatial transcriptomicsYusen Zhang, Guodong Xiao, Ponian Li, et al.
Bioinformatics Advances|September 10, 2026
T-SMmOTE: tweaked synthetic majority minority oversampling technique for data scarcity issue in multi omics studiesPayel Sadhukhan, Animesh Acharjee
Bioinformatics Advances|September 10, 2026
Benchmarking antibody modeling tools across structure prediction, docking, and paratope-epitope interface analysisZeyuan Yu, Jilei Wu, Ziyao Ning, et al.
Bioinformatics Advances|September 18, 2026
pLM-SAV: a Δ-embedding approach for predicting pathogenic single amino acid variantsOrsolya Gereben, Hedvig Tordai, Lana Khamisi, et al.
Bioinformatics Advances|September 12, 2026
PanelAppRex aggregates disease gene panels and facilitates sophisticated searchQuant Group, Simon Boutry, Ali Saadat, et al.
Bioinformatics Advances|September 12, 2026
MeTime: an R package for reproducible longitudinal metabolomics data analysisBharadwaj Marella, Patrick Weinisch, Lara Vehovec, et al.
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