Author

Chang Ho Yoon

Harvard UniversityORCID 0000-0003-1356-0392Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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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

Andrew L. BeamiD· 1 shared Anna G. GreeniD· 1 shared Isaac S. KohaneiD· 1 shared Luca FreschiiD· 1 shared Mack Fina· 1 shared Maha Reda FarhatiD· 1 shared Matthias I. GröscheliD· 1 shared Michael L. CheniD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Andrew L. BeamORCID

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1 paper

Recent·Most cited

GenomicsNature CommunicationsPeer-reviewedJul 2, 2022

A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis

Anna G. Green, Chang Ho Yoon, Michael L. Chen…·Maha Reda Farhat

This paper presents a deep convolutional neural network to predict antibiotic resistance in M. tuberculosis isolates, achieving state-of-the-art accuracy and enabling interpretable feature analysis.

90 citationstop 2%

humanwhole-genome sequencing

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