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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.

"Improving Maritime Traffic Emission Estimations on Missing Data with Conditional RBMs" paper code and data for reproducibility

Big Federated Learning project: Breast MG Classification study

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.