Explore projects
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EMEWS template for model exploration and calibrations MMCA-COVID-19
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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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Data intensive science for everyone.
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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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Big Federated Learning project: Breast MG Classification study
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