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Computational and Structural Biotechnology Journal|June 29, 2022
mRNAsi-related genes can effectively distinguish hepatocellular carcinoma into new molecular subtypesCanbiao Wang, Shijie Qin, Wanwan Pan, et al.
Computational and Structural Biotechnology Journal|January 20, 2023
Methods to mechanically perturb and characterize GUV-based minimal cell modelsNadab H Wubshet, Allen P Liu
Computational and Structural Biotechnology Journal|January 20, 2023
CNN6mA: Interpretable neural network model based on position-specific CNN and cross-interactive network for 6mA site predictionSho Tsukiyama, Md Mehedi Hasan, Hiroyuki Kurata
Computational and Structural Biotechnology Journal|January 20, 2023
eMIC-AntiKP: Estimating minimum inhibitory concentrations of antibiotics towards Klebsiella pneumoniae using deep learningQuang H Nguyen, Hoang H Ngo, Thanh-Hoang Nguyen-Vo, et al.
Computational and Structural Biotechnology Journal|January 20, 2023
Integrated mRNA and miRNA transcriptomic analysis reveals the response of Rapana venosa to the metamorphic inducer (juvenile oysters)Mei-Jie Yang, Hao Song, Pu Shi, et al.
Computational and Structural Biotechnology Journal|January 20, 2023
Comparative genomics and molecular epidemiology of colistin-resistant Acinetobacter baumanniiJovana Kabic, Katarina Novovic, Dusan Kekic, et al.
Computational and Structural Biotechnology Journal|January 20, 2023
Beyond sequence: Structure-based machine learningJanani Durairaj, Dick de Ridder, Aalt D J van Dijk
Computational and Structural Biotechnology Journal|January 20, 2023
Single-cell analysis of multiple cancer types reveals differences in endothelial cells between tumors and normal tissuesJiayu Zhang, Tong Lu, Shiqi Lu, et al.
Computational and Structural Biotechnology Journal|January 20, 2023
Cell segmentation and representation with shape priorsDominik Hirling, Peter Horvath
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