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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
An advanced computational biology project aimed at analyzing causal networks of space-induced neurodegeneration in mice using NASA's OSD-352 dataset and PC algorithm; Ultimately mapping findings to human genes for insights into neurodegenerative diseases and space health.
Official code for "Minimal Reconnection for Brain Resilience". Models brain network fragmentation (e.g., Alzheimer's) via hub attacks. Proposes ORT-THERAPY-F, a "Giant Component Absorption" heuristic that achieves 100% reconnection. Standard baselines (PA, CN) fail completely (0% repair), while our method is optimal and 36.5% more efficient.
Biological and medical applications of the Symmetrical Convergence (SymC) framework. Exploring critical damping in cellular, neurological, and immune systems for stability and adaptive control.
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.
Stress driven glutamate, calcium, and ROS disease pathway research with a focus on transgenerational heritability. Source vault for the Biolectrics Wiki.
Thousands of people are affected by Parkinson's disease (PD). In this project, RNA-seq data from mice with induced a-syn accumulation is analyzed in order to learn more about microglia role in PD.
🌱 Reframe cellular decay as reversible, using targeted resonance for restoration without toxic interventions. Open source for collaborative development.
This repository contains the code I developed for my master thesis project: Neurodegeneration identification in Parkinson's Disease with DL and qMRI maps