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Briefings in Bioinformatics|July 8, 2026
SOPA and SIMPA: normalized single-sample integrated multiomics pathway analysis of tumor heterogeneity in solid cancersHasan Alsharoh, Abdulrahman Ismaiel, George A Calin, et al.
Briefings in Bioinformatics|July 8, 2026
Investigating the anticancer activity of eravacycline in pancreatic cancer via target-based deep learning and experimental validationAdi Jabarin, Guy Shtar, Valeria Feinshtein, et al.
Briefings in Bioinformatics|March 28, 2026
Estimating population structure using epigenome-wide methylation dataZiqing Wang, Kent D Taylor, Jerome I Rotter, et al.
Briefings in Bioinformatics|March 28, 2026
Toward next-generation machine learning and deep learning for spatial omicsYanis Zirem, Isabelle Fournier, Michel Salzet
Briefings in Bioinformatics|April 14, 2026
GDSim: accurate simulation for single-cell transcriptomes based on the guided diffusion modelTao Wang, Heyan Dong, Hui Zhao, et al.
Briefings in Bioinformatics|April 14, 2026
TensoGraph: a tensor-transformer framework for global-local drug synergy prediction on heterogeneous graphsXi Wang, Dongxue Zhang, Limin Li
Briefings in Bioinformatics|March 28, 2026
GWKBR: a novel method integrating machine learning and Bayesian inference framework to improve genomic prediction accuracyXue Wang, Jicai Jiang, Zhe Zhang, et al.
Briefings in Bioinformatics|April 1, 2026
Stoichiometry-preserving and stochasticity-aware identification of m6A from direct RNA sequencingFangyuan Wang, Menglu Chen, Jinyi Li, et al.
Briefings in Bioinformatics|May 6, 2026
MuRaL-indel: a deep learning framework for building insertion and deletion mutation rate mapsShuyi Deng, Hui Song, Cai Li
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