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BMC Bioinformatics|October 22, 2021
Comparability of reference-based and reference-free transcriptome analysis approaches at the gene expression levelSung-Gwon Lee, Dokyun Na, Chungoo ParkBMC Bioinformatics|October 22, 2021
Using neural networks to support high-quality evidence mappingThomas B Røst, Laura Slaughter, Øystein Nytrø, et al.BMC Bioinformatics|October 22, 2021
PIC-Me: paralogs and isoforms classifier based on machine-learning approachesJooseong Oh, Sung-Gwon Lee, Chungoo ParkBMC Bioinformatics|January 23, 2022
how_are_we_stranded_here: quick determination of RNA-Seq strandednessBrandon Signal, Tim KahlkeBMC Bioinformatics|February 2, 2022
Detecting gene-gene interactions from GWAS using diffusion kernel principal componentsAndrew Walakira, Junior Ocira, Diane Duroux, et al.BMC Bioinformatics|April 26, 2022
AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learningInyoung Sung, Sangseon Lee, Minwoo Pak, et al.BMC Bioinformatics|March 18, 2022
Conservation of dynamic characteristics of transcriptional regulatory elements in periodic biological processesFrancis C Motta, Robert C Moseley, Bree Cummins, et al.BMC Bioinformatics|March 23, 2022
A population-level statistic for assessing Mendelian behavior of genotyping-by-sequencing data from highly duplicated genomesLindsay V Clark, Wittney Mays, Alexander E Lipka, et al.BMC Bioinformatics|March 22, 2022
Evaluation of tree-based statistical learning methods for constructing genetic risk scoresMichael Lau, Claudia Wigmann, Sara Kress, et al.BMC Bioinformatics|April 20, 2022
DISTEMA: distance map-based estimation of single protein model accuracy with attentive 2D convolutional neural networkXiao Chen, Jianlin ChengPageof 1,248