Predicting drug resistance in M. tuberculosis using a Long-term Recurrent Convolutional Networks architecture
Amir Hosein Safari, Nafiseh Sedaghat, Hooman Zabeti, Alpha Forna, Leonid Chindelevitch, Maxwell Libbrecht
The paper predicts drug resistance in M. tuberculosis using a gene burden-based approach with a Long-term Recurrent Convolutional Network (LRCN) architecture, showing improved performance over existing methods.
bioRxiv · Nov 7, 2020 · PreprintBioinformatics