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
Explainable AI system for HIV drug resistance prediction using ensemble machine learning and SHAP-based genomic interpretability. HIVゲノム配列から薬剤耐性を予測し、SHAP解析による説明可能AIを実現する次世代バイオインフォマティクスシステム。
The SNP and gene datasets of M. Tuberculosis for drug resistance prediction.
WGS-based drug resistance profiling and lineage classification of 15 Mycobacterium tuberculosis isolates from South Africa using TB-Profiler and Python.
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
Slides for presentation to the Queensland Mycobacterium Reference Laboratory 24/02/2022
Multi-class classification of drug resistance in MTB clinical isolates
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