Drug Resistance Prediction with Reference Graphs
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Updated
Oct 23, 2025 - Rust
Drug Resistance Prediction with Reference Graphs
Mycobacterium tuberculosis genomic analysis from Nanopore sequencing data
My PhD thesis
The implementation of Long-term Recurrent Convolutional Network (LRCN), wide-n-deep NN, LSTM, SVM, LR, RF for drug resistance prediction.
Deep Learning-based A Tool used to Drug Resistance Prediction of Mycobacterium tuberculosis Utilizing Whole Genome Mutations
The SNP and gene datasets of M. Tuberculosis for drug resistance prediction.
Analysis of gene expression, chromatin accessibility, and resistance phenotypes in melanoma cell lines treated with targeted therapies.
Multi-class classification of drug resistance in MTB clinical isolates
Multi-class classification of drug resistance in MTB clinical isolates
Slides for presentation to the Queensland Mycobacterium Reference Laboratory 24/02/2022
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