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BMC Bioinformatics|January 7, 2022
HESML: a real-time semantic measures library for the biomedical domain with a reproducible surveyJuan J Lastra-Díaz, Alicia Lara-Clares, Ana Garcia-SerranoBMC Bioinformatics|January 19, 2022
Using machine learning to detect the differential usage of novel gene isoformsXiaopu Zhang, Musa A Hassan, James G D PrendergastBMC Bioinformatics|November 13, 2021
CRPGCN: predicting circRNA-disease associations using graph convolutional network based on heterogeneous networkZhihao Ma, Zhufang Kuang, Lei DengBMC Bioinformatics|November 13, 2021
Emulating complex simulations by machine learning methodsPaola Stolfi, Filippo CastiglioneBMC Bioinformatics|November 13, 2021
Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluationTao Jiang, Shiqi Liu, Shuqi Cao, et al.BMC Bioinformatics|November 5, 2021
MSA: reproducible mutational signature attribution with confidence based on simulationsSergey SenkinBMC Bioinformatics|February 28, 2021
miTAR: a hybrid deep learning-based approach for predicting miRNA targetsTongjun Gu, Xiwu Zhao, William Bradley Barbazuk, et al.BMC Bioinformatics|December 1, 2021
Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approachPegah Mavaie, Lawrence Holder, Daniel Beck, et al.BMC Bioinformatics|December 13, 2021
MCKAT: a multi-dimensional copy number variant kernel association testNastaran Maus Esfahani, Daniel Catchpoole, Javed Khan, et al.BMC Bioinformatics|December 13, 2021
Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regressionKatrin Madjar, Manuela Zucknick, Katja Ickstadt, et al.Pageof 1,248