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This project is about the use of BF16 FMAs to train DNN

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.

TransBioNet CNVS Workflow

This repository contains models and necessary configurations for dataclay deployment