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Frontiers in Bioinformatics|June 15, 2026
Systematic analysis of bacterial lipopolysaccharide-related genes and immune cell infiltration characteristics in pediatric septic shock using integrated bioinformatics and machine learning approachesJunying Qiao, Lanlan Zou, Jianchuang Zhao, et al.
Frontiers in Bioinformatics|May 18, 2026
Automated segmentation of hepatic vessels and lobules in whole-slide images using U-net modelsMehul Bafna, Matthias König, Sylvia Saalfeld, et al.
Frontiers in Bioinformatics|July 11, 2026
Sparse time-varying log-ratios for longitudinal high-throughput sequencing dataRuijin Lu, Guoqi Yu, Cuilin Zhang, et al.
Frontiers in Bioinformatics|July 13, 2026
Connecting links with code: AI in morphological evolutionNimisha Singh, Pragya Chaturvedi, Devansh Saxena
Frontiers in Bioinformatics|July 1, 2026
Hydrogen sulfide modulates gene networks in hypoxia/reoxygenation-stressed trophoblasts: insights from transcriptome profilingShivani, Amit Katiyar, Sunil Kumar Gupta, et al.
Frontiers in Bioinformatics|June 29, 2026
A foundational quantum framework for multi-pattern string matching in k-mer detectionChristos Papalitsas, Ioannis Mouratidis, Michail Patsakis, et al.
Frontiers in Bioinformatics|June 29, 2026
Explainable machine learning-based identification of transcriptomic biomarkers in CD1c+ dendritic cells for non-infectious uveitis: an integrative analysis of bulk RNA-seq dataYelda Fırat
Frontiers in Bioinformatics|June 29, 2026
CapMux: a Snakemake pipeline for early demultiplexing of split-pool scRNA-seq data into sample-resolved outputsDenis Baronas
Frontiers in Bioinformatics|June 30, 2026
Molecular Dynamics-Based validation of a quinazoline-based KRAS inhibitor (C9) identified through QSAR-guided discoveryStephen Adebayo Osasan, Oche Ambrose George, Olusola Daramola, et al.
Frontiers in Bioinformatics|June 26, 2026
An integrative machine learning, explainable AI, molecular simulation, and cytotoxicity validation framework for the discovery of selective SIRT1 inhibitors against triple negative breast cancerDeepak Sharma, Madhan Subramaniam, Madhu Anabala, et al.
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