The aim of this web-based simulation is to support orthopaedic elective theatre and ward planning. The DES model enables experimentation with the theatre schedule, number of beds, lengths-of-stay for five orthopaedic elective surgery types, the proportion of…
Identifying disease critical cell types and programs from single cell RNAseq. Genome-wide association studies (GWAS) provide a powerful means to identify loci and genes contributing to disease, but in many cases the related cell types/states through which gen…
The DNA Methyltransferase (MTases) app is dedicated to the exploration of prokaryotic DNA Methyltransferases (MTases). This platform offers a comprehensive toolkit for understanding MTase structure, classification, and function.
User-friendly Workflow for Image-based Droplet Analysis with Multipurpose Modules
This app predicts quality ratings for diffusion MRI data using automated metrics generated from QSIPrep.
Efficient, precise and interpretable HLA-I binding epitope identification based on Naive Bayes formulation
This app uses multi-modality machine learning to assist with predicting Parkinson’s Disease.
A model to predict changes in the necessity of enteral nutrition for patients with acute stroke. Based on paper: Machine Learning in Acute Stroke Care: A Novel Model for Assessing the Need for Enteral Nutrition
To support the research community in investigating our malignant mesothelioma multiplex immunofluorescence (mIF) dataset, we created the web resource providing interactive visualizations mIF and hematoxylin and eosin (H&E) images of tumor samples. More specif…
iTraNet is an interactive web application that visualizes and analyzes trans-omics networks involving four major types of networks: gene regulatory networks; protein-protein interactions; metabolic networks; and metabolite exchange networks.