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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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Set of AXI utility modules that I have needed to develop for several projects. This repo depends on the pulp axi interfaces https://github.com/pulp-platform/axi
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Processed datasets of a rare rare subtype of hereditary thrombophilia. The Prothrombin Belgrade mutation has been reported as a specific mutation that leads to antithrombin resistance in two Serbian families with thrombosis.
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Mobility and maps data loader
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This project is about the use of BF16 FMAs to train DNN
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Obtuse but versatile nOS-V instrumentation library.
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