cancer-risk

QTL mapping pipeline (LOD scoring, peak identification) for Palomero et al., "Immune Cell Associations with Cancer Risk", iScience, 2020. Pairs with systematicBNR for pre-processing.

Code repository for Pardo-Cea, Farré, Esteve, Palade, Espín, et al. "Biological basis of extensive pleiotropy between blood traits and cancer risk." Genome Medicine, 2024.

Pipeline for regression analysis of immune/stromal cell quantitative trait loci linked to cancer risk. Developed for Palomero, Espín, et al., "Immune Cell Associations with Cancer Risk", iScience, 2020.

Cancer risk classification pipeline: leakage detection, Stratified CV (macro-F1), model benchmarking (LogReg/RF/Calibrated SVM/XGBoost), and interpretability (permutation importance).

Lab profile

Interactive Machine Learning platform for lung cancer risk assessment. Includes data preprocessing, exploratory analysis, predictive modeling and an interactive Streamlit dashboard for visualization and risk prediction.

Decision Support System for the Prevention of Human Exposome-related health Risks

R code to compute weighted literature-keyword co-occurrence scores and construct gene-set networks (Fig. 1c), from Mateo, He, Mei, et al. "Modification of BRCA1-associated breast cancer risk by HMMR overexpression." Nature Communications, 2022.

Cancer risk factors dataset (2,000×21): lifestyle/environment/genetics + derived Overall_Risk_Score/Risk_Level with leakage note (ML & EDA-ready).

Published review paper on heavy metals and cancer risk