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BMC Bioinformatics|October 26, 2023
Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in cropsAurélie C Lozano, Hantian Ding, Naoki Abe, et al.BMC Bioinformatics|October 26, 2023
Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic reviewSadam Hussain, Yareth Lafarga-Osuna, Mansoor Ali, et al.BMC Bioinformatics|October 31, 2023
Roastgsa: a comparison of rotation-based scores for gene set enrichment analysisAdrià Caballé-Mestres, Antoni Berenguer-Llergo, Camille Stephan-Otto AttoliniBMC Bioinformatics|March 28, 2024
Classifying breast cancer subtypes on multi-omics data via sparse canonical correlation analysis and deep learningYiran Huang, Pingfan Zeng, Cheng ZhongBMC Bioinformatics|March 28, 2024
SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression imagesShuo Wang, Yuanning Liu, Hao Zhang, et al.BMC Bioinformatics|March 29, 2024
Feature-specific quantile normalization and feature-specific mean-variance normalization deliver robust bi-directional classification and feature selection performance between microarray and RNAseq dataDaniel Skubleny, Sunita Ghosh, Jennifer Spratlin, et al.BMC Bioinformatics|March 29, 2024
GraphKM: machine and deep learning for KM prediction of wildtype and mutant enzymesXiao He, Ming YanBMC Bioinformatics|September 14, 2023
Scellpam: an R package/C++ library to perform parallel partitioning around medoids on scRNAseq data setsJuan Domingo, Teresa Leon, Esther DuraBMC Bioinformatics|September 13, 2023
A systematic comparison of human mitochondrial genome assembly toolsNirmal Singh Mahar, Rohit Satyam, Durai Sundar, et al.BMC Bioinformatics|September 18, 2023
Automatic segmentation of large-scale CT image datasets for detailed body composition analysisNouman Ahmad, Robin Strand, Björn Sparresäter, et al.Pageof 1,248