Machine learning model input.

Machine learning model input.

<p>Each row contains an experimentally tested virus-host pair, their known interaction, and the signal of coevolutions computed from their genomic sequences. Submitted as an excel spreadsheet.</p> <p>(CSV)</p>

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Bibliographic Details
Main Author:	G. Eric Bastien (19697934) (author)
Other Authors:	Rachel N. Cable (18394696) (author), Cecelia Batterbee (19697937) (author), A. J. Wing (19697940) (author), Luis Zaman (386870) (author), Melissa B. Duhaime (3143328) (author)
Published:	2024
Subjects:	Medicine Microbiology Evolutionary Biology Ecology Mental Health Infectious Diseases Plant Biology Virology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified ubiquitous biological entities hosts ’ metabolisms corresponding sequence data >&# 8221 ;</ produce viral progeny host prediction models host interaction predictor resolve microbial virus div >< p host interactions predictor ml ), virus host interactions ml model data point >&# 8220 viral adaptation novel viral likely host host pairs host pair host networks host genomes host clade vhip ), predict virus input virus existing virus 8849 virus testing represents species level resulting dataset natural systems meaningful signals great diversity genomic sequences genome sequencing fall short explicit understanding environmental health broad implications accuracy rate
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Summary:	<p>Each row contains an experimentally tested virus-host pair, their known interaction, and the signal of coevolutions computed from their genomic sequences. Submitted as an excel spreadsheet.</p> <p>(CSV)</p>

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