Author

Sharad Vikram

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· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Eric A. EvansiD· 1 shared Imran S. HaqueiD· 1 shared Matthew D. Rasmussen· 1 shared

Activity by Year

2015-2015 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Eric A. EvansORCID

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1 paper

Recent·Most cited

SSCM: A method to analyze and predict the pathogenicity of sequence variants

Sharad Vikram, Matthew D. Rasmussen, Eric A. Evans, Imran S. Haque

SSCM-Pathogenic is a genome-wide, allele-specific score that predicts variant pathogenicity using a semi-supervised clustering algorithm, showing effectiveness in both coding and noncoding regions.

bioRxiv · Jun 26, 2015 · PreprintBioinformatics