Deep Learning and Aging

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1. Websites Websites Public

   Dash website to display our results at https://www.multidimensionality-of-aging.net/

   Python 7

2. Images-preprocessing Images-preprocessing Public

   Preprocessing of the images for the images-based models (e.g X-ray images).

   Jupyter Notebook 7 1

3. Heart-MRI-videos-pipeline Heart-MRI-videos-pipeline Public

   Models built on videos (heart MRI).

   Jupyter Notebook 2

4. Main-pipeline-and-Images-based-models-pipeline_static Main-pipeline-and-Images-based-models-pipeline_static Public

   Core pipeline of the project. Build the models on medical images, merge all the other models and perform the analyses.

   Python 1

5. Scalars-based-models-and-XWAS-pipeline Scalars-based-models-and-XWAS-pipeline Public

   Models based on scalar datasets (e.g blood samples). Pipeline to identify non-genetic factors associated with accelerated aging (e.g environmental variables).)

   Python 1

6. PheWAS-and-GWAS-Diabetes-Correlation-pipeline PheWAS-and-GWAS-Diabetes-Correlation-pipeline Public

   PheWAS pipeline for finding associations between age predictors and other laboratory phenotypes and GWAS-Diabetes pipeline for exploring correlation of age predictors with diabetes-related risk phe…

   Python 1