Author

Doug Evans

Scripps Research Institute

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 Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:GWAS summary statistics· 1 Research Focus:imputation· 1

Frequent Co-Authors

Ali TorkamaniiD· 3 shared Kaiyu CheniD· 2 shared Raquel DiasiD· 2 shared Shang‐Fu CheniD· 2 shared Ahmed El-kallinyiD· 1 shared André Nicolás LeóniD· 1 shared Arjun Ghoshal· 1 shared Bhuvan Molparia· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Ali TorkamaniORCID

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Author profile →

3 papers

Recent·Most cited

Rapid, Reference-Free Human Genotype Imputation with Denoising Autoencoders

Raquel Dias, Doug Evans, Shang‐Fu Chen, Kaiyu Chen, Salvatore Loguercio, Leslie Chan, Ali Torkamani

This paper introduces a denoising autoencoder for rapid, reference-free human genotype imputation, achieving higher accuracy and faster runtime than standard methods.

eLife · Sep 23, 2022Peer-reviewedBioinformatics

Response to Polygenic Risk: Results of the MyGeneRank Mobile Application-Based Coronary Artery Disease Study

Evan D. Muse, Shang‐Fu Chen, Shuchen Liu, Brianna Fernandez, Brian Schrader, Bhuvan Molparia, André Nicolás León, Raymond Lee, Neha Pubbi, Nolan Mejia, Christina Ren, Ahmed El-kalliny, Ernesto Prado Montes de, Hector E. Tamez, Arjun Ghoshal, , Ali Torkamani

This study evaluates the impact of coronary artery disease polygenic risk scores on lipid-lowering therapy initiation via a mobile application, finding higher therapy rates among high-risk individuals.

npj Digital Medicine · Mar 11, 2022Peer-reviewedGenetic & Genomic Medicine

Decoding the transcriptome of atherosclerotic plaque at single-cell resolution

Tom Alsaigh, Doug Evans, David A. Frankel, Ali Torkamani

The paper analyzes single-cell transcriptomes of atherosclerotic plaques and adjacent tissue to identify gene drivers of cellular transdifferentiation and inflammatory processes.

bioRxiv · Mar 3, 2020 · PreprintGenomics