ADEPTUS -- differential gene expression signatures of disease
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Updated
Aug 11, 2015
ADEPTUS -- differential gene expression signatures of disease
Processing the DISEASES database
Processing the DisGeNET database of disease–gene association
Extracting disease-gene associations from the GWAS Catalog
Cataloging pharmacotherapies in clinical trial from ClinicalTrials.gov
Human disease network based on GWAS loci
An agent-based model of infectious disease spread.
Converting DrugCentral data to Rephetio identifiers
ChroniCare is a tool that helps track and conquer chronic disease. Get Autonomy over your disease.
Simulation of disease-phenotype annotation with imprecision and noise.
Generating new diseases with recurrent neural networks
We proposed and implemented a model of how an epidemic spreads based on the interactions recorded, among humans. The system was assumed as a Markov process where the hidden variable is the state of the person, transition between the states was done by the interactions. These interactions will be detected by using RFID technology in smart phones.
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