Author

Mohammadamin Edrisi

Rice UniversityORCID 0000-0002-9738-1916Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Hamim ZafariD· 1 shared Luay K. NakhlehiD· 1 shared Luay Nakhleh· 1 shared Nicholas Navin· 1 shared Xian Fan· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Hamim ZafarORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 30, 2019

Methods for Copy Number Aberration Detection from Single-cell DNA Sequencing Data

Xian Fan, Mohammadamin Edrisi, Nicholas Navin, Luay Nakhleh

This paper reviews and benchmarks methods for detecting copy number aberrations in single-cell DNA sequencing data, highlighting their strengths, limitations, and accuracy.

6 citations

whole-genome sequencingbenchmark study

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJul 5, 2019

A Combinatorial Approach for Single-cell Variant Detection via Phylogenetic Inference

Mohammadamin Edrisi, Hamim Zafar, Luay K. Nakhleh

This paper introduces scVILP, a combinatorial method for detecting mutations in single-cell sequencing data by reconstructing phylogenies, achieving better runtime than existing methods.

10 citations

humanwhole-exome sequencing

𝕏 PostBluesky