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BMC Bioinformatics|November 29, 2013
A novel approach for protein subcellular location prediction using amino acid exposureArvind Singh Mer, Miguel A Andrade-NavarroScientific Reports|February 3, 2016
Study design requirements for RNA sequencing-based breast cancer diagnosticsArvind Singh Mer, Daniel Klevebring, Henrik Grönberg, et al.Plos One|November 25, 2011
MicroRNAs modulate the dynamics of the NF-κB signaling pathwayCandida Vaz, Arvind Singh Mer, Alok Bhattacharya, et al.BMC Research Notes|April 19, 2015
mBISON: Finding miRNA target over-representation in gene lists from ChIP-sequencing dataMarie Luise Gebhardt, Arvind Singh Mer, Miguel Angel Andrade-NavarroBioinformatics Advances|April 12, 2024
Text-mining-based feature selection for anticancer drug response predictionGrace Wu, Arvin Zaker, Amirhosein Ebrahimi, et al.Molecular & Cellular Oncology|October 7, 2021
Novel subtypes of NPM1-mutated AML with distinct outcomeArvind Singh Mer, Mark D Minden, Benjamin Haibe-Kains, et al.Journal of Hematology & Oncology|April 8, 2018
Expression levels of long non-coding RNAs are prognostic for AML outcomeArvind Singh Mer, Johan Lindberg, Christer Nilsson, et al.Cancer Research|May 10, 2022
Bimodal Gene Expression in Patients with Cancer Provides Interpretable Biomarkers for Drug SensitivityWail Ba-Alawi, Sisira Kadambat Nair, Bo Li, et al.F1000Research|June 17, 2021
Highlights from the 16th International Society for Computational Biology Student Council Symposium 2020Wim L Cuypers, Handan Melike Dönertaş, Jasleen K Grewal, et al.Briefings in Bioinformatics|August 12, 2021
Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning modelsHossein Sharifi-Noghabi, Soheil Jahangiri-Tazehkand, Petr Smirnov, et al.Pageof 2