A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
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Feb 27, 2023
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A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
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.
Microbial marker identification from cross-cohort datasets
A poster showing TIGS project at BioForum2019, ShanghaiTech University
My Solution for PrecisionFDA Brain Cancer Predictive Modeling and Biomarker Discovery Challenge
A package for biomarker selection based on multiset multicover and the cross-entropy-method.
"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.
GeneLit is a literature review tool made with Streamlit that allows researchers to input gene sets and query the latest biomedical literature filtered by specific cancer types and tissue synonyms. Designed to aid biomarker discovery and validation.
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.
Biomarker Database (RDF, reporting, and other utilities)
R pipeline for TCGA transcriptomics biomarker discovery with ML & SHAP
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