🔬 R/biotmle: A package for biomarker discovery combining targeted minimum loss-based estimation with empirical Bayes moderation

"Identification of Biomarkers for Early-Stage Hepatocellular Carcinoma (HCC)" aims to address the critical global challenge of late-stage cancer diagnosis, which significantly lowers patient survival rates. It explores microarray gene expression datasets from GEO to identify potential early-stage biomarkers for improved patient outcomes.

lpl package

ENDORSE model

Biomarker Database (rewrite and utilities)

I extracted the tumor features according to the data annotation of all four stages of 3D MRI data. And I deployed Graph Neural Networks based on important features such as First Order Statistics, Shape-based (3D), Shape-based (2D), GLCM, GLRLM, GLSZN, NGTDM, and GLDM.

TCGA 데이터를 이용한 암 분류를 위한 유전자 바이오마커 검출 프로젝트

A package for biomarker selection based on multiset multicover and the cross-entropy-method.

A poster showing TIGS project at BioForum2019, ShanghaiTech University

My Solution for PrecisionFDA Brain Cancer Predictive Modeling and Biomarker Discovery Challenge

Microbial marker identification from cross-cohort datasets

The Ontology for Nutritional Studies (ONS) has been developed as part of the ENPADASI European project (http://www.enpadasi.eu/) with the aim to define a common language and building ontologies for nutritional studies.

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.