Official pytorch repository for "VISION XL: High Definition Video Inverse Problem Solver using Latent Diffusion Models"

bioinformatics，miRNA, circRNA, lncRNA, microbe, protein, drug, disease, virus

Predict eccDNA based on deep learning models

Official implementation of "KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations" (Briefings in Bioi…

Drug and disease relation knowledge graph.

Construct Disease Gene Drug Knowledge Graph and example usages

An integrated knowledge graph for microbial attributes and diseases

[Frontend] A knowledge graph system with graph neural network for drug discovery, disease mechanism and biomarker screening.

This project explores hypertension-related genes and diseases using data analysis, knowledge graph visualization, and machine learning. It identifies hypertension-related diseases, generates a know…

KGRACDA is a novel computational model for predicting circRNA-disease associations. It utilizes knowledge graph representation and recursion to explicitly capture intrinsic attributes and deep info…

An Integrated Knowledge Graph for Microbes-Diseases associations

📖 Generation and Applications of Knowledge Graphs in Systems and Networks Biology

Knowledge Graph Toolkit

Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of early deaths. Breast Ultrasound Dataset is categorized into three clas…

Taste of Research Scholarship by University of New South Wales (UNSW) - Image segmentation of ultrasound scans

使用Unet系列语义分割模型,对超声波图像进行分割诊断.

Medical ultrasound image processing.Carotid ultrasoung segmentation using RF data.

A novel segmentation-to-classification scheme for breast ultrasound image classification

Machine Learning-based prediction of bleeding from the baseline clinical data for patients with VTE

Predicted patients whether they have venous thrombosis embolism. Applying XGBoost

This R Shiny app is being developed as part of a risk prediction project for VTE in glioma patients. Northwestern data was used for as preliminary training data. This app will be used for predictio…

This Django project provides predictive models for Mortality, Major Bleeding, and Venous Thromboembolism (VTE), aiding in risk assessment through a web interface.

Pipeline for the identification of extrachromosomal circular DNA (ecDNA) from Circle-seq, WGS, and ATAC-seq data that were generated from cancer and other eukaryotic cells.