GitHub - CodeCleanBICB1/GeneRegNet_ML: A Data Science project where individuals' Single-nucleotide polymorphism (SNP) data is mapped to a precomputed Gene Regulatory Network. Then the output vectors are used as a representation of the individuals genomics to train a machine learning model for autism risk prediction.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
003_GRN_mapping.ipynb		003_GRN_mapping.ipynb
003_Multicalss_GRN_mapping.ipynb		003_Multicalss_GRN_mapping.ipynb
101_Classification_with_Multiclass_emb.ipynb		101_Classification_with_Multiclass_emb.ipynb
102_classification.ipynb		102_classification.ipynb
103_Sibling_Classification.ipynb		103_Sibling_Classification.ipynb
200_Generating_Subset_Embedding_Mat.ipynb		200_Generating_Subset_Embedding_Mat.ipynb
200_OddsRatio.ipynb		200_OddsRatio.ipynb
201_MoP1OddsRatio.ipynb		201_MoP1OddsRatio.ipynb
202_faP1OddsRatio-Copy2.ipynb		202_faP1OddsRatio-Copy2.ipynb
203_faMoOddsRatio.ipynb		203_faMoOddsRatio.ipynb
autoencoder.pth		autoencoder.pth
downstream_node_sizes.csv		downstream_node_sizes.csv
encoded_embeddings.csv		encoded_embeddings.csv
encoded_embeddings.npy		encoded_embeddings.npy

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A Data Science project where individuals' Single-nucleotide polymorphism (SNP) data is mapped to a precomputed Gene Regulatory Network. Then the output vectors are used as a representation of the individuals genomics to train a machine learning model for autism risk prediction.