官方服务：
资源简介：
for detecting resistance to anti-tuberculous drugs
应用场景：
创建时间：
2022-08-06
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Additional file 7: of Transferring knowledge of bacterial protein interaction networks to predict pathogen targeted human genes and immune signaling pathways: a case study on M. tuberculosis
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Posterior nodes and standard deviations of mixture model parameters describing resistance in treatment-experienced patients.
corresponds to the tree weights of the prespecified trees. Nodes = {WT = wild type, H = isoniazid, R = rifampin, E = ethambutol and S = streptomycin }.
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