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SEAe collaborators

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Microbiology· 1

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

A. C. Myall· 1 shared A. Chanthongthip· 1 shared A. Dubot-Peres· 1 shared A. Kumar· 1 shared B. Gangadharan· 1 shared B. Kessler· 1 shared B. Pastorino· 1 shared D. P. O'Brien· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

A. C. Myall

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1 paper

Recent·Most cited

Deep proteomics network and machine learning analysis of human cerebrospinal fluid in Japanese encephalitis virus infection

T. Bharucha, B. Gangadharan, A. Kumar, A. C. Myall, N. Ayhan, B. Pastorino, A. Chanthongthip, M. Vongsouvath, M. Mayxay, O. Sengvilaipaseuth, S. Rattanavong, D. P. O'Brien, I. Vendrell, R. Fischer, B. Kessler, , SEAe collaborators

This study identifies a ten-protein diagnostic signature for Japanese encephalitis virus infection in cerebrospinal fluid with >99% accuracy using proteomics and machine learning.

bioRxiv · Jun 19, 2022Microbiology