Promoter CpG Density Predicts Downstream Gene Loss-of-Function Intolerance is a research paper published in The American Journal of Human Genetics (2020). On theSindex it has a DataRank of 0. It has been cited 17 times.
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National Institutes of Health
Grant: R01GM121459
National Institutes of Health
Grant: 5R01GM121459-02
Analysis of genomics datasets at a massive scale
Burroughs Wellcome Fund
National Institute of General Medical Sciences
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Additional file 1 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 1 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 5 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 4 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 3 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 4 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 2 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 5 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 2 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 3 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data