You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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
End-to-end oncology RWE pipeline: synthetic EHR data (Synthea) harmonized to the OMOP CDM, an NSCLC cohort built with dbt and PostgreSQL, and survival analysis in R, benchmarked against SEER registry data. Includes data-quality checks and a documented case where the synthetic data failed validation. Methods demo, not real patient data.
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.
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.
PERSIST (PERsister-State In-Silico Targeting): residual-state modelling of single-cell drug response for combination therapy prediction in EGFR-mutant NSCLC and TNBC