Description Usage Arguments Details Value Examples
View source: R/output_predicted_genes.R
This function utlizes the structure of the Gene Ontology resource to predict unreported disease genes from a list of seed genes. It accomplishes this task by finding the most granular GO term that a particular gene belongs to, and collecting all other genes belonging to that term. It scores predicted genes based on their frequencies in the related GO terms.
1 | output_predicted_genes(seed_gene_list, n_seeds = 10)
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seed_gene_list |
The tibble outputted by 'output_gene_prioritization' |
n_seeds |
The number of seed genes to use to extend genes. Defaults to 10 |
By default, only 10 seed genes are used to predict new genes. This can be changed, but increasing this parameter will increase runtime exponentially
A tibble
1 2 | autism_seed_genes <- output_gene_prioritization("autism")
output_predicted_genes(autism_seed_genes)
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