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Briefings in Bioinformatics|June 18, 2023
Leveraging trans-ethnic genetic risk scores to improve association power for complex traits in underrepresented populationsHaojie Lu, Shuo Zhang, Zhou Jiang, et al.Briefings in Bioinformatics|June 16, 2023
A feature extraction free approach for protein interactome inference from co-elution dataYu-Hsin Chen, Kuan-Hao Chao, Jin Yung Wong, 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 SalzetBriefings in Bioinformatics|April 14, 2026
GEiPRS: a fast and powerful machine learning method for polygenic risk score prediction by leveraging genotype-environment interactionsLe Huang, Wujuan Zhong, Song Zhai, et al.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 LiBriefings 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 LiPageof 540