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Nutritional Risk Index
This app calculates the Nutritional Risk Index (NRI), which is used to assess the nutritional status of individuals, particularly in clinical settings. This index helps in identifying individuals who are at risk of malnutrition, aiding healthcare providers in…
SpikeScape
This program calculates the distribution of the requested distance between any two atoms across all SARS-CoV-2 spike structures available in the Protein Data Bank.
D-Tracer: Analyzing dual isotope labeling
A tool for picking out deuterium labeled compounds from an ion-mobility mass spectrometry peaklist. D-Tracer is a software to analyze deuterium labeling mass spectrometry data. It is intended for lipidomics data, however can be used for other mass spectrometr…
SIMS: Single-Cell RNA-Seq Data Classification
SIMS (Scalable, Interpretable Modeling for Single-Cell RNA-Seq Data Classification) is a pipeline for building interpretable and accurate classifiers for identifying any target on single-cell rna-seq data. The SIMS model is based on a sequential transformer, …
CAGE for Alcohol
This interactive web application provides a simple and confidential tool for individuals to screen for potential alcohol use disorders using the CAGE questionnaire. The CAGE questionnaire is a renowned, brief self-assessment tool that consists of four questio…
sICH Calculator
Computational tool for predicting in-hospital mortality in severe spontaneous intracerebral hemorrhage
RandFX Meta
This app computes a random-effects meta-analysis of the correlation data in an editable table. It performs bootstrapping for confidence interval estimation and produces plots in real time. Replicates the meta-analysis from Samaha & Romei (2023) Journal of Cog…
ML Predicts Early Neuro Decline After Stroke Thrombolysis
Through the identification of critical features and ML algorithms, we developed a web application to help clinicians identify high-risk of END after thrombolysis in AIS patients more quickly, easily and accurately as well as making timely clinical decisions.
Hypergraphs for Multimorbidity
This applet randomly generates a set of fictious 'patients' and their disease pathways to demonstrate the use of hypergraphs in understanding multimorbidity. The app can be used to change the number of 'patients' to generate and the maximum number of diseases…
Deep Learning Models for Preimplantation Mouse & Human Dev
The rapid growth of single-cell transcriptomic technology has produced an increasing number of datasets for both embryonic development and in vitro pluripotent stem cell derived models. This avalanche of data about pluripotency and the process of lineage spec…