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1. NLP-Clustering-MDR-AEs NLP-Clustering-MDR-AEs Public

   This RShiny dashboard uses NLP and unsupervised machine learning to allow users to identify frequent recurring Advserse Events in Medical Device Reports

   R 1

2. NLP-DeepLearning-MDR-AEs NLP-DeepLearning-MDR-AEs Public

   This neural network predicts with 93.6% accuracy whether a Medical Device Report contains an Adverse Event based on the unstructured event description.

   Python 1

3. TS-ClinicalTrials-QC TS-ClinicalTrials-QC Public

   Verifies the Registry ID (REGID) against ClinicalTrials.gov and cross checks the reported values against the TS dataset.

   SAS 1

4. simple-cli-gatk-pipeline simple-cli-gatk-pipeline Public

   A very simple command line tool for running the GATK best practices workflow.

   Python 1

5. TDP43-Exploratory-Analysis TDP43-Exploratory-Analysis Public

   An exploratory analysis of the TDP-43 protein using a variety of bioinformatics tools

   1