Drug Resistance Prediction with Reference Graphs

Mycobacterium tuberculosis genomic analysis from Nanopore sequencing data

The implementation of Long-term Recurrent Convolutional Network (LRCN), wide-n-deep NN, LSTM, SVM, LR, RF for drug resistance prediction.

My PhD thesis

The SNP and gene datasets of M. Tuberculosis for drug resistance prediction.

Deep Learning-based A Tool used to Drug Resistance Prediction of Mycobacterium tuberculosis Utilizing Whole Genome Mutations

Slides for presentation to the Queensland Mycobacterium Reference Laboratory 24/02/2022

Multi-class classification of drug resistance in MTB clinical isolates

Multi-class classification of drug resistance in MTB clinical isolates