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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.
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This repository contains Python scripts for "Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates" by Carme Zambrana, Alexandros Xenos, René Bötcher, Noël Malod-Dognin, and Nataša Pržulj.
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Python library to access FlowMaps database. Based on pymongo. Needs a direct connection to the Mongodb instance.
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Set of python scripts to process and consolidate the data stored in the database.
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Big Federated Learning project: Breast MG Classification study
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