rezacsedu/Convolutional-embedded-networks
Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing
This project helps genetic researchers or population scientists cluster large-scale genomic data and predict bio-ancestry. It takes raw genetic variant files (VCF format) as input and outputs population clusters or ancestry predictions. The primary users are researchers working with population-scale genetic datasets.
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Use this if you need to analyze massive genetic datasets to understand population structure or infer ancestry with deep learning techniques.
Not ideal if you lack access to a computing cluster with Spark, H2O, ADAM, and GPU-enabled Keras, or if you prefer a simpler, less infrastructure-heavy solution.
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Python
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Last pushed
Jan 07, 2020
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