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BMC Bioinformatics|October 15, 2024
Predicting stroke occurrences: a stacked machine learning approach with feature selection and data preprocessingPritam Chakraborty, Anjan Bandyopadhyay, Preeti Padma Sahu, et al.BMC Bioinformatics|October 14, 2024
DNASimCLR: a contrastive learning-based deep learning approach for gene sequence data classificationMinghao Yang, Zehua Wang, Zizhuo Yan, et al.BMC Bioinformatics|October 8, 2024
NeuroimaGene: an R package for assessing the neurological correlates of genetically regulated gene expressionXavier Bledsoe, Eric R GamazonBMC Bioinformatics|October 9, 2024
MethylSeqLogo: DNA methylation smart sequence logosFei-Man Hsu, Paul HortonBMC Bioinformatics|August 20, 2024
Benchmarking robustness of deep neural networks in semantic segmentation of fluorescence microscopy imagesLiqun Zhong, Lingrui Li, Ge YangBMC Bioinformatics|August 21, 2024
VAIV bio-discovery service using transformer model and retrieval augmented generationSeonho Kim, Juntae YoonBMC Bioinformatics|August 14, 2024
A comparative analysis of mutual information methods for pairwise relationship detection in metagenomic dataDallace Francis, Fengzhu SunBMC Bioinformatics|August 22, 2024
TIANA: transcription factors cooperativity inference analysis with neural attentionRick Z Li, Claudia Z Han, Christopher K GlassBMC Bioinformatics|August 1, 2024
Random forests for the analysis of matched case-control studiesGunther Schauberger, Stefanie J Klug, Moritz BergerBMC Bioinformatics|August 1, 2024
Hybrid fragment-SMILES tokenization for ADMET prediction in drug discoveryNicholas Aksamit, Alain Tchagang, Yifeng Li, et al.Pageof 1,249