Extended Joint Models for Longitudinal and Survival Data

📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮

Text-mined knowledgebase for drivers, oncogenes and tumor suppressors in cancer

Model-Informed Precision Dosing (MIPD) with R

R package BioPred

Scripts and info for defining cohorts in CPRD Aurum

A doubly robust precision medicine approach to estimate and validate conditional average treatment effects

Code associated with the findings in Duran-Ferrer, Nat Cancer 2020.

R scripts for the SGLT2vsGLP1 paper

Multi-omics integration of kidney transcriptomics and urinary proteomics to explore fibrosis, metabolism, and inflammation in diabetic kidney disease (DKD)

optimal individualized treatment regime estimation for survival data with competing risks

Integrated analysis of TCGA-KIRC using RNA-seq and RPPA identifies biologically distinct tumor subgroups associated with survival outcomes.

MultiMlearn - Estimation of individualized treatment rules using matched learning (M-learning), under the setting of multicategory treatments.

A comprehensive classification tool based on pure transcriptomics for precision medicine

🧠 Machine learning analysis for the paper named "Predicting 3-year persistent or recurrent major depressive episode using machine learning techniques".

RNA-seq analysis of fibrosis and inflammation signatures in focal segmental glomerulosclerosis (FSGS)

Investigating the transcriptomic architecture and functional landscape of NAA15-associated Neurodevelopmental Disorders (NDD) through comparative gene expression profiling.

Reproducible single-cell RNA-seq pipeline for human endometrial organoids to identify epithelial stem cell markers and characterize cellular states.

Case Study: Personalized Anti-Coagulation: Optimizing Warfarin Management Using Genetics and Simulated Clinical Trials