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Yang Y, Walker TM, Walker AS, Wilson DJ, Peto TEA, Crook DW, Shamout F, Arandjelovic I, Comas I, Farhat MR, Gao Q, Sintchenko V, van Soolingen D, Hoosdally S, Gibertoni Cruz AL, Carter J, Grazian C, Earle SG, Kouchaki S, Yang Y, Walker TM, Fowler PW, Clifton DA, Iqbal Z, Hunt M, Smith EG, Rathod P, Jarrett L, Matias D, Cirillo DM, Borroni E, Battaglia S, Ghodousi A, Spitaleri A, Cabibbe A, Tahseen S, Nilgiriwala K, Shah S, Rodrigues C, Kambli P, Surve U, Khot R, Niemann S, Kohl T, Merker M, Hoffmann H, Molodtsov N, Plesnik S, Ismail N, Thwaites G, Thuy Thuong TN, Ngoc NH, Srinivasan V, Moore D, Coronel DJ, Solano W, Gao GF, He G, Zhao Y, Ma A, Liu C, Zhu B, Laurenson I, Claxton P, Koch A, Wilkinson R, Lalvani A, Posey J, Gardy JJ, Werngren J, Paton N, Jou R, Wu M, Lin W, Ferrazoli L, de Oliveira RS, Paulo S, Zhu T, Clifton DA, . DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis. 2019 Jan 28;35(18):3240–9. doi: 10.1093/bioinformatics/btz067. |