Multi-label random forest model for tuberculosis drug resistance classification and mutation ranking

Multi-label random forest model for tuberculosis drug resistance classification and mutation ranking

Resistance prediction and mutation ranking are important tasks in the analysis of Tuberculosis sequence data. Due to standard regimens for the use of first-line antibiotics, resistance co-occurrence, in which samples are resistant to multiple drugs, is common. Analysing all drugs simultaneously shou...

Detaylı Bibliyografya
Asıl Yazarlar:	Kouchaki, S, Yang, Y, Lapachelle, A, Walker, T, Walker, AS, CRyPTIC Consortium, Peto, T, Crook, D, Clifton, DA
Materyal Türü:	Journal article
Dil:	English
Baskı/Yayın Bilgisi:	Frontiers Media 2020

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