AI-Driven-Drug-Discovery-for-EGFR-TKI-Resistance-in-NSCLC-Using-Dual-SMILES-Models

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.

Gene expression analysis to identify biomarkers for early lung cancer detection (SCLC & NSCLC)

PubChem API scraper for EGFR inhibitors including SMILES, MW, Lipinski Ro5 compliance across 3 TKI generations

Methods overview with scripts looking at mtDNA and haplogroup association with CPTAC LUAD study.

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.

Erhobene Datenelemente zum Lungenkrebspatientenpfad im Forschungsprojekt MiHUB

NSCLC Radiomics: Survival Time prediction using CT-extracted features and clinical data.

MSc Data Analytics Thesis: Unsupervised Feature Extraction for Assessing Recurrence of Lung Cancer

ligand protein binding through docking for mutant specific biomarkers in egfr inhibiotrs in 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.