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BMC Bioinformatics|January 31, 2021
Self-organizing maps with variable neighborhoods facilitate learning of chromatin accessibility signal shapes associated with regulatory elementsTara Eicher, Jany Chan, Han Luu, et al.BMC Bioinformatics|September 15, 2019
A classification model for lncRNA and mRNA based on k-mers and a convolutional neural networkJianghui Wen, Yeshu Liu, Yu Shi, et al.BMC Bioinformatics|September 20, 2019
Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selectionAlejandro Lopez-Rincon, Marlet Martinez-Archundia, Gustavo U Martinez-Ruiz, et al.BMC Bioinformatics|August 29, 2019
An equivalence approach to the integrative analysis of feature listsAlex Sánchez-Pla, Miquel Salicrú, Jordi OcañaBMC Bioinformatics|January 19, 2021
MegaR: an interactive R package for rapid sample classification and phenotype prediction using metagenome profiles and machine learningEliza Dhungel, Yassin Mreyoud, Ho-Jin Gwak, et al.BMC Bioinformatics|March 2, 2019
isma: an R package for the integrative analysis of mutations detected by multiple pipelinesNoemi Di Nanni, Marco Moscatelli, Matteo Gnocchi, et al.BMC Bioinformatics|September 8, 2019
Model annotation and discovery with the Physiome Model RepositoryDewan M Sarwar, Reza Kalbasi, John H Gennari, et al.BMC Bioinformatics|February 2, 2021
tidyMicro: a pipeline for microbiome data analysis and visualization using the tidyverse in RCharlie M Carpenter, Daniel N Frank, Kayla Williamson, et al.BMC Bioinformatics|February 4, 2021
GEOlimma: differential expression analysis and feature selection using pre-existing microarray dataLiangqun Lu, Kevin A Townsend, Bernie J DaigleBMC Bioinformatics|July 31, 2019
Improving prediction of phenotypic drug response on cancer cell lines using deep convolutional networkPengfei Liu, Hongjian Li, Shuai Li, et al.Pageof 1,248