Author

Matthew N. Ezewudo

Critical Path 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

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Approach:deep learning· 1 Organism:human· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Akshith DoddiiD· 1 shared Andrew L. BeamiD· 1 shared Isaac S. KohaneiD· 1 shared Jimmy RoyeriD· 1 shared Luca FreschiiD· 1 shared Maha Reda FarhatiD· 1 shared Marco L. SchitoiD· 1 shared Michael L. CheniD· 1 shared

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2019-2019 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Akshith DoddiORCID

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1 paper

Recent·Most cited

BioinformaticsEBioMedicinePeer-reviewedApr 29, 2019

Deep learning predicts tuberculosis drug resistance status from genome sequencing data

Michael L. Chen, Akshith Doddi, Jimmy Royer…·Maha Reda Farhat

This study uses a multitask deep learning model to predict tuberculosis drug resistance from genomic data, achieving high accuracy in both first-line and second-line drug resistance prediction.

125 citationstop 1%

humanwhole-genome sequencing

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