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Bioinformatics (Oxford, England)|June 9, 2025
BiGSM: Bayesian inference of gene regulatory network via sparse modellingHang Qin, Mateusz Garbulowski, Erik L L Sonnhammer, et al.
Bioinformatics (Oxford, England)|May 13, 2025
Relation equivariant graph neural networks to explore the mosaic-like tissue architecture of kidney diseases on spatially resolved transcriptomicsMauminah Raina, Hao Cheng, Ricardo Melo Ferreira, et al.
Bioinformatics (Oxford, England)|May 12, 2025
EM-PLA: Environment-aware Heterogeneous Graph-based Multimodal Protein-Ligand Binding Affinity PredictionZhiqi Xie, Peng Zhang, Zipeng Fan, et al.
Bioinformatics (Oxford, England)|May 12, 2025
GCfix: a fast and accurate fragment length-specific method for correcting GC bias in cell-free DNAChowdhury Rafeed Rahman, Zhong Wee Poh, Anders Jacobsen Skanderup, et al.
Bioinformatics (Oxford, England)|May 9, 2025
Pitfalls of bacterial pan-genome analysis approaches: a case study of Mycobacterium tuberculosis and two less clonal bacterial speciesMaximillian G Marin, Natalia Quinones-Olvera, Christoph Wippel, et al.
Bioinformatics (Oxford, England)|February 4, 2026
VUScope: a mathematical model for evaluating image-based drug response measurements and predicting long-term incubation outcomesNguyen Khoa Tran, My Ky Huynh, Alexander D Kotman, et al.
Bioinformatics (Oxford, England)|February 15, 2026
Moiraine: an R package to construct reproducible pipelines for the application and comparison of multi-omics integration methodsOlivia Angelin-Bonnet, Lindy Guo, Roy Storey, et al.
Bioinformatics (Oxford, England)|February 15, 2026
IgPose: A Generative Data-Augmented Pipeline for Robust Immunoglobulin-Antigen Binding PredictionTien-Cuong Bui, Injae Chung, Wonjun Lee, et al.
Bioinformatics (Oxford, England)|February 14, 2026
CCC-GPU: A graphics processing unit (GPU)-accelerated nonlinear correlation coefficient for large-scale transcriptomic analysesHaoyu Zhang, Kevin Fotso, Marc Subirana-Granés, et al.
Bioinformatics (Oxford, England)|February 15, 2026
A Dual Diffusion Model-Based Representation Learning Framework for AMPs ClassificationWen Kong, Lingling Fu, Xingpeng Jiang, et al.
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