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BMC Bioinformatics|March 24, 2023
A review and comparative study of cancer detection using machine learning: SBERT and SimCSE applicationMpho Mokoatle, Vukosi Marivate, Darlington Mapiye, et al.
BMC Bioinformatics|March 24, 2023
CNN-Siam: multimodal siamese CNN-based deep learning approach for drug‒drug interaction predictionZihao Yang, Kuiyuan Tong, Shiyu Jin, et al.
BMC Bioinformatics|March 24, 2023
Predicting miRNA-disease associations based on PPMI and attention networkXuping Xie, Yan Wang, Kai He, et al.
BMC Bioinformatics|February 10, 2023
Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled dataZilin Ren, Quan Li, Kajia Cao, et al.
BMC Bioinformatics|February 9, 2023
A prefix and attention map discrimination fusion guided attention for biomedical named entity recognitionZhengyi Guan, Xiaobing Zhou
BMC Bioinformatics|February 9, 2023
pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language modelPawel Pratyush, Suresh Pokharel, Hiroto Saigo, et al.
BMC Bioinformatics|February 16, 2023
ConanVarvar: a versatile tool for the detection of large syndromic copy number variation from whole-genome sequencing dataMikhail Gudkov, Loïc Thibaut, Matloob Khushi, et al.
BMC Bioinformatics|February 21, 2023
Pathogen detection in RNA-seq data with PathonoiaAnna-Maria Liebhoff, Kevin Menden, Alena Laschtowitz, et al.
BMC Bioinformatics|February 24, 2023
Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian frameworkElie-Julien El Hachem, Nataliya Sokolovska, Hedi Soula
BMC Bioinformatics|February 24, 2023
Designing multi-epitope vaccine against important colorectal cancer (CRC) associated pathogens based on immunoinformatics approachHamid Motamedi, Marzie Mahdizade Ari, Mohsen Shahlaei, et al.
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