BMC Bioinformatics

OCT 21, 2026 · JOURNAL ARTICLE

A new explainable AI pipeline for cancer cell segmentation and classification for microscopy images

BMC Bioinformatics

Abstract Background The development of novel therapeutic approaches to cancers requires significant time and labour, especially for uncommon cancers (e.g. of mesenchymal origin). I

OCT 21, 2026 · JOURNAL ARTICLE

HGACL-DRP: Heterogeneous graph attention dual-perturbation contrastive learning network for drug response prediction

BMC Bioinformatics

The marked heterogeneity of cancer poses a substantial challenge to precision drug therapy, resulting in considerable variability in patient responses to identical treatments. Accu

SEP 28, 2026 · JOURNAL ARTICLE

meth-SemiCancer2: a cancer subtyping framework leveraging domain adaptation with contrastive learning for batch effect correction in DNA methylation profiles

BMC Bioinformatics

Cancer subtyping is essential for precision oncology, enabling early diagnosis, targeted therapy, and improved prognosis. DNA methylation is a powerful molecular marker for subtype

SEP 8, 2026 · JOURNAL ARTICLE

Mutant TP53 physically sequesters FOXP3 to abrogate PD-L1 transcriptional regulation and drive immune evasion in lung adenocarcinoma: multi-scale computational evidence supporting a candidate interaction

BMC Bioinformatics

Multi-scale computational prediction of a candidate mutp53-FOXP3 interaction mechanism, supported by associational survival data and in silico modelling but lacking experimental validation of physical sequestration or functional causality.