Author

Raeuf Roushangar

Michigan State University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:software / tool· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

George I. MiasiD· 3 shared Christina Christou· 1 shared Lavida R. K. Brooks· 1 shared Tahir YusufalyiD· 1 shared Vikas Vikram SinghiD· 1 shared

Activity by Year

2016-2019 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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3 shared papersBioinformatics

George I. MiasORCID

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3 papers

Recent·Most cited

Stratified computational meta-analysis of 2213 acute myeloid leukemia patients reveals age- and sex-dependent gene expression signatures

Raeuf Roushangar, George I. Mias

This study performs a meta-analysis of AML patient data to identify age- and sex-dependent gene expression signatures and pathways associated with the disease.

Scientific Reports · Aug 27, 2019Peer-reviewedBioinformatics

ClassificaIO: machine learning for classification graphical user interface

Raeuf Roushangar, George I. Mias

ClassificaIO provides an open-source GUI for machine learning classification using scikit-learn, enabling researchers to train, validate, and test models interactively without programming knowledge.

bioRxiv · Oct 25, 2018 · PreprintBioinformatics

MathIOmica: An Integrative Platform for Dynamic Omics

George I. Mias, Tahir Yusufaly, Raeuf Roushangar, Lavida R. K. Brooks, Vikas Vikram Singh, Christina Christou

MathIOmica provides a Mathematica package for integrating and analyzing multiple omics data in bioinformatics.

Scientific Reports · Nov 24, 2016Peer-reviewedBioinformatics