ConsensusTME Gene Sets and R Script
A collection of tumour microenvironment single-cell RNA sequencing datasets for use in R and other pipelines.
My final project of the Master's in Bioinformatics and Computational Biology.
Spatial transcriptomics pipeline analysing tumour microenvironment features associated with immunotherapy response in melanoma.
This project explores how immune activation, checkpoint suppression, and T-cell exhaustion shape tumour behavior and survival outcomes in lung adenocarcinoma using TCGA-LUAD transcriptomic data. By integrating immune-related gene expression into composite immune balance models, the analysis identifies distinct tumour microenvironment states.
Data analysis related code associated with the study "Stromal cell subsets modulate T-cell infiltration in early breast cancer".
Large-scale TCGA breast cancer gene expression analysis with PCA, immune signature scoring, and tumour expression interpretation.
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