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BMC Bioinformatics|July 3, 2024
SGCP: a spectral self-learning method for clustering genes in co-expression networksNiloofar Aghaieabiane, Ioannis KoutisBMC Bioinformatics|July 29, 2024
An FPGA-based hardware accelerator supporting sensitive sequence homology filtering with profile hidden Markov modelsTim Anderson, Travis J WheelerBMC Bioinformatics|June 13, 2024
Dyport: dynamic importance-based biomedical hypothesis generation benchmarking techniqueIlya Tyagin, Ilya SafroBMC Bioinformatics|June 12, 2024
StatiCAL: an interactive tool for statistical analysis of biomedical data and scientific valorizationTanguy Pace-Loscos, Jocelyn Gal, Sara Contu, et al.BMC Bioinformatics|November 8, 2023
ILIAD: a suite of automated Snakemake workflows for processing genomic data for downstream applicationsNoah Herrick, Susan WalshBMC Bioinformatics|November 2, 2023
Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer modelsRobert J Millikin, Kalpana Raja, John Steill, et al.BMC Bioinformatics|November 2, 2023
Deep learning-enabled natural language processing to identify directional pharmacokinetic drug-drug interactionsJoel Zirkle, Xiaomei Han, Rebecca Racz, et al.BMC Bioinformatics|November 14, 2023
Optimizing diabetes classification with a machine learning-based frameworkXin Feng, Yihuai Cai, Ruihao XinBMC Bioinformatics|November 14, 2023
DG-Affinity: predicting antigen-antibody affinity with language models from sequencesYe Yuan, Qushuo Chen, Jun Mao, et al.BMC Bioinformatics|October 25, 2023
TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypesCharlie M Carpenter, Lucas Gillenwater, Russell Bowler, et al.Pageof 1,248