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This project is created by the Hao Lab at the Chemistry Department in George Washington University, Washington, D.C. This project aims to provide contaminant protein FASTA and spectral libraries that can be universally applied to DDA and DIA proteomics and freely accessible for the proteomics community.
The official repository for NOVA, a deep learning framework designed for high-throughput organellar phenotyping of perturbed human neurons using AI-driven methodologies
The project provides a comprehensive Dashboard that presents the findings of the data analysis related to analyzing pollution data and CNS disease statistics in the Italian province.
This repository contains the code I developed for my master thesis project: Neurodegeneration identification in Parkinson's Disease with DL and qMRI maps