Author

Majid Mohammadi

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

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Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Hossein Sharifi Noghabi· 3 shared Ghosheh Abed Hodtani· 1 shared Habib Rajabi Mashhadi· 1 shared

Activity by Year

2015-2015 · peak 3/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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3 shared papersBioinformatics

Hossein Sharifi Noghabi

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3 papers

Recent·Most cited

Robust Group Fused Lasso for Multisample CNV Detection under Uncertainty

Hossein Sharifi Noghabi, Majid Mohammadi

This paper introduces a robust method for detecting copy number variations in multi-sample aCGH data by using a modified fused lasso approach with M-estimators for noise resilience.

bioRxiv · Oct 23, 2015 · PreprintBioinformatics

Robust and Stable Gene Selection via Maximum-Minimum Correntropy Criterion

Majid Mohammadi, Hossein Sharifi Noghabi, Ghosheh Abed Hodtani, Habib Rajabi Mashhadi

This paper introduces MMCC, a gene selection method for microarray data that is robust, fast, and accurate, achieving high classification accuracy with fewer genes.

bioRxiv · Oct 21, 2015Bioinformatics

Mat-aCGH: a Matlab toolbox for simultaneous multisample aCGH data analysis and visualization

Majid Mohammadi, Hossein Sharifi Noghabi

Mat-aCGH provides a Matlab toolbox for analyzing and visualizing multisample aCGH data using statistical and information theoretic methods.

bioRxiv · Oct 9, 2015 · PreprintBioinformatics