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Briefings in Bioinformatics|October 20, 2020
Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcomaNuojin Cheng, Ashley J Schulte, Fadil Santosa, et al.Briefings in Bioinformatics|October 20, 2020
Predicting drug-disease associations through layer attention graph convolutional networkZhouxin Yu, Feng Huang, Xiaohan Zhao, et al.Briefings in Bioinformatics|November 3, 2020
Cloud 3D-QSAR: a web tool for the development of quantitative structure-activity relationship models in drug discoveryYu-Liang Wang, Fan Wang, Xing-Xing Shi, et al.Briefings in Bioinformatics|June 20, 2022
PCfun: a hybrid computational framework for systematic characterization of protein complex functionVarun S Sharma, Andrea Fossati, Rodolfo Ciuffa, et al.Briefings in Bioinformatics|June 20, 2022
Evaluating hierarchical machine learning approaches to classify biological databasesPâmela M Rezende, Joicymara S Xavier, David B Ascher, et al.Briefings in Bioinformatics|January 8, 2023
Benchmarking differential abundance analysis methods for correlated microbiome sequencing dataLu Yang, Jun ChenBriefings in Bioinformatics|January 10, 2023
Leveraging scaffold information to predict protein-ligand binding affinity with an empirical graph neural networkChunqiu Xia, Shi-Hao Feng, Ying Xia, et al.Briefings in Bioinformatics|January 11, 2023
A novel strategy for designing the magic shotguns for distantly related target pairsYongchao Luo, Panpan Wang, Minjie Mou, et al.Briefings in Bioinformatics|December 23, 2022
Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularityYizhou He, Yue Yang, Xiaorui Su, et al.Briefings in Bioinformatics|December 23, 2022
DRONet: effectiveness-driven drug repositioning framework using network embedding and ranking learningKuo Yang, Yuxia Yang, Shuyue Fan, et al.Pageof 556