pcbi.1008873.s006.pdf (122.4 kB)
Detailed table of “new mutation” characteristics.
journal contribution
posted on 2021-08-26, 17:49 authored by Luc Blassel, Anna Tostevin, Christian Julian Villabona-Arenas, Martine Peeters, Stéphane Hué, Olivier Gascuel(PDF)
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using machine learningreverse transcriptase inhibitorresults likely indicateregulatory binding pocketmachine learning methodslow genetic barrierimportant representation featuresbinary representation features1 reverse transcriptaseknown drm featuresindependent data setssignificant frequency differences000 ), usingreveal new drmsremoving features correspondingnewly discovered drmsdrug resistance landscapequality sequence datarti )- experiencedrt active siteknown resistance signalremoving either featuresfind novel drmshiv significant signalknown drmsbig datasequence datasetn epistasis ),potential drms≈ 55xlink ">treatment pressurethus validatingspatially closesequences containingsamples associatedprediction accuracynaive samplesnaive patientslarge hivgrowing quantitycommonly transmittedcannot hope
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