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BMC Bioinformatics|October 5, 2023
CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding AffinityJianqiu Wu, Hongyang Chen, Minhao Cheng, et al.BMC Bioinformatics|October 3, 2023
Graph regularized non-negative matrix factorization with norm regularization terms for drug-target interactions predictionJunjun Zhang, Minzhu XieBMC Bioinformatics|October 3, 2023
DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposingZahra Ghorbanali, Fatemeh Zare-Mirakabad, Najmeh Salehi, et al.BMC Bioinformatics|October 1, 2024
SAE-Impute: imputation for single-cell data via subspace regression and auto-encodersLiang Bai, Boya Ji, Shulin WangBMC Bioinformatics|September 20, 2024
Turbocharging protein binding site prediction with geometric attention, inter-resolution transfer learning, and homology-based augmentationDaeseok Lee, Wonjun Hwang, Jeunghyun Byun, et al.BMC Bioinformatics|October 10, 2024
A multi-task graph deep learning model to predict drugs combination of synergy and sensitivity scoresSamar Monem, Aboul Ella Hassanien, Alaa H Abdel-HamidBMC Bioinformatics|September 28, 2024
Mugen-UMAP: UMAP visualization and clustering of mutated genes in single-cell DNA sequencing dataTeng Li, Yiran Zou, Xianghan Li, et al.BMC Bioinformatics|September 28, 2024
Using flux theory in dynamic omics data sets to identify differentially changing signals using DPoPHarley Edwards, Joseph Zavorskas, Walker Huso, et al.BMC Bioinformatics|September 30, 2024
Predicting RNA sequence-structure likelihood via structure-aware deep learningYou Zhou, Giulia Pedrielli, Fei Zhang, et al.BMC Bioinformatics|August 9, 2023
ggcoverage: an R package to visualize and annotate genome coverage for various NGS dataYabing Song, Jianbin WangPageof 1,248