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Briefings in Bioinformatics|November 22, 2023
Transfer learning for clustering single-cell RNA-seq data crossing-species and batch, case on uterine fibroidsYu Mei Wang, Yuzhi Sun, Beiying Wang, et al.Briefings in Bioinformatics|November 20, 2023
Predicting gene regulatory links from single-cell RNA-seq data using graph neural networksGuo Mao, Zhengbin Pang, Ke Zuo, et al.Briefings in Bioinformatics|November 20, 2023
A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associationsXiaowen Hu, Dayun Liu, Jiaxuan Zhang, et al.Briefings in Bioinformatics|November 29, 2023
Assessing protein model quality based on deep graph coupled networks using protein language modelDong Liu, Biao Zhang, Jun Liu, et al.Briefings in Bioinformatics|November 29, 2023
Drug repositioning based on weighted local information augmented graph neural networkYajie Meng, Yi Wang, Junlin Xu, et al.Briefings in Bioinformatics|December 1, 2023
Accurate TCR-pMHC interaction prediction using a BERT-based transfer learning methodJiawei Zhang, Wang Ma, Hui YaoBriefings in Bioinformatics|December 1, 2023
A Hitchhiker's guide to RNA-RNA structure and interaction prediction toolsFrancis Yew Fu Tieng, Muhammad-Redha Abdullah-Zawawi, Nur Alyaa Afifah Md Shahri, et al.Briefings in Bioinformatics|November 22, 2023
Evidential deep learning for trustworthy prediction of enzyme commission numberSo-Ra Han, Mingyu Park, Sai Kosaraju, et al.Briefings in Bioinformatics|November 30, 2023
VirusHound-I: prediction of viral proteins involved in the evasion of host adaptive immune response using the random forest algorithm and generative adversarial network for data augmentationJorge F Beltrán, Lisandra Herrera Belén, Jorge G Farias, et al.Briefings in Bioinformatics|January 20, 2024
MHCLMDA: multihypergraph contrastive learning for miRNA-disease association predictionWei Peng, Zhichen He, Wei Dai, et al.Pageof 542