This project analyzes the long non-coding RNA UCA1 in non-small cell lung cancer (NSCLC) using TCGA RNA-seq data. It includes data preprocessing, normalization, differential expression analysis, and visualization. Key outputs are UCA1 expression patterns, PCA plots, heatmap
Plasma cell-free DNA hydroxymethylomes discriminate disease state in EGFR-mutant non-small cell lung cancer.
Bayesian NMA of advanced NSCLC treatments across 10 studies using gemtc and JAGS — fixed/random effects models, DIC model selection, SUCRA rankings, full league table, node-splitting consistency check, and heterogeneity estimation for NICE STA submissions.
Single-cell and bulk RNA-seq analysis of T cell functional states associated with immunotherapy response in NSCLC.
Single-cell RNA-seq analysis of CD8 T cell functional states in lung cancer - two-dataset portfolio examining tumor-associated exhaustion in LUAD and its association with anti-PD-1 immunotherapy response in NSCLC.
Gene expression analysis to identify biomarkers for early lung cancer detection (SCLC & NSCLC)
MSc Data Analytics Thesis: Unsupervised Feature Extraction for Assessing Recurrence of Lung Cancer
AI-Driven-Drug-Discovery-for-EGFR-TKI-Resistance-in-NSCLC-Using-Dual-SMILES
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