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Briefings in Bioinformatics|September 29, 2023
Microbiome Metabolome Integration Platform (MMIP): a web-based platform for microbiome and metabolome data integration and feature identificationAnupam Gautam, Debaleena Bhowmik, Sayantani Basu, et al.Briefings in Bioinformatics|September 27, 2023
3D-SMGE: a pipeline for scaffold-based molecular generation and evaluationChao Xu, Runduo Liu, Shuheng Huang, et al.Briefings in Bioinformatics|September 24, 2023
HTCL-DDI: a hierarchical triple-view contrastive learning framework for drug-drug interaction predictionRan Zhang, Xuezhi Wang, Pengfei Wang, et al.Briefings in Bioinformatics|September 24, 2023
Mutational signature assignment heterogeneity is widespread and can be addressed by ensemble approachesAndy J Wu, Akila Perera, Linganesan Kularatnarajah, et al.Briefings in Bioinformatics|July 19, 2023
Predicting metabolite-disease associations based on auto-encoder and non-negative matrix factorizationHongyan Gao, Jianqiang Sun, Yukun Wang, et al.Briefings in Bioinformatics|July 21, 2023
UNMF: a unified nonnegative matrix factorization for multi-dimensional omics dataKo Abe, Teppei ShimamuraBriefings in Bioinformatics|July 10, 2023
ZetaDesign: an end-to-end deep learning method for protein sequence design and side-chain packingJunyu Yan, Shuai Li, Ying Zhang, et al.Briefings in Bioinformatics|July 5, 2023
Predicting potential microbe-disease associations based on multi-source features and deep learningLiugen Wang, Yan Wang, Chenxu Xuan, et al.Briefings in Bioinformatics|June 20, 2023
C-RCPred: a multi-objective algorithm for interactive secondary structure prediction of RNA complexes integrating user knowledge and SHAPE dataMandy Ibéné, Audrey Legendre, Guillaume Postic, et al.Briefings in Bioinformatics|June 9, 2023
Rigorous benchmarking of T-cell receptor repertoire profiling methods for cancer RNA sequencingKerui Peng, Theodore S Nowicki, Katie Campbell, et al.Pageof 542