Author

Ali Karimnezhad

Health CanadaORCID 0000-0002-5340-1858Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Assay:scRNA-seq· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Bryan Lo· 1 shared David J. StewartiD· 1 shared Gareth PalidworiD· 1 shared Kednapa ThavorniD· 1 shared Pearl A. Campbell· 1 shared Theodore J. PerkinsiD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Bryan Lo

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2 papers

Recent·Most cited

More accurate estimation of cell composition in bulk expression through robust integration of single-cell information

Ali Karimnezhad

This paper introduces a covariance-based method to improve cell-type proportion estimation in bulk RNA-seq by integrating single-cell data, showing better accuracy than existing methods.

Bioinformatics Advances · Jan 1, 2022Peer-reviewedBioinformatics

Accuracy and Reproducibility of Somatic Point Mutation Calling in Clinical-Type Targeted Sequencing Data

Ali Karimnezhad, Gareth Palidwor, Kednapa Thavorn, David J. Stewart, Pearl A. Campbell, Bryan Lo, Theodore J. Perkins

This study evaluates somatic mutation calling accuracy and reproducibility in clinical-type targeted sequencing data using cell line samples and multiple variant callers.

BMC Medical Genomics · Oct 15, 2020Peer-reviewedBioinformatics