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Briefings in Bioinformatics|September 22, 2022
SPRoBERTa: protein embedding learning with local fragment modelingLijun Wu, Chengcan Yin, Jinhua Zhu, et al.Briefings in Bioinformatics|October 9, 2022
Data-driven patient stratification of UK Biobank cohort suggests five endotypes of multimorbidityBodhayan Prasad, Anthony J Bjourson, Priyank ShuklaBriefings in Bioinformatics|October 5, 2022
CReSIL: accurate identification of extrachromosomal circular DNA from long-read sequencesVisanu Wanchai, Piroon Jenjaroenpun, Thongpan Leangapichart, et al.Briefings in Bioinformatics|October 5, 2022
Integrating bioinformatic strategies in spatial life science researchYangyang Hao, Liang Lu, Anna Liu, et al.Briefings in Bioinformatics|October 5, 2022
Line graph attention networks for predicting disease-associated Piwi-interacting RNAsKai Zheng, Xin-Lu Zhang, Lei Wang, et al.Briefings in Bioinformatics|September 1, 2022
Metric learning for comparing genomic data with triplet networkZhi Ma, Yang Young Lu, Yiwen Wang, et al.Briefings in Bioinformatics|December 28, 2021
SIGNET: single-cell RNA-seq-based gene regulatory network prediction using multiple-layer perceptron baggingQinhuan Luo, Yongzhen Yu, Xun LanBriefings in Bioinformatics|September 3, 2022
Letter to the editor: evaluating computational tools for lncRNA identification on independent datasetsHansi Zheng, Xiaoman Li, Haiyan HuBriefings in Bioinformatics|September 7, 2022
Not all T cell epitopes are equally desired: a review of in silico tools for the prediction of cytokine-inducing potential of T-cell epitopesSandeep Kumar Dhanda, Jitendra Malviya, Sudheer GuptaBriefings in Bioinformatics|September 7, 2022
A machine learning framework based on multi-source feature fusion for circRNA-disease association predictionLei Wang, Leon Wong, Zhengwei Li, et al.Pageof 539