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EMEWS template for model exploration and calibrations MMCA-COVID-19

Variant Interaction Analysis (VIA) is an application for identifying genomic variant interactions related with complex diseases. It uses Multifactor Dimensionality Dimension (MDR), a non-parametric statistical method for detecting and characterizing nonlinear interactions. It runs in a singularity container using Apache Spark for distributing the work, Hadoop File System for distributing the data and Apache ZooKeeper for synchronization. It is coded in Python.

Data intensive science for everyone.

Python library to access FlowMaps database. Based on pymongo. Needs a direct connection to the Mongodb instance.

Big Federated Learning project: Breast MG Classification study