def neurommsig_gene_ora(graph: BELGraph, genes: List[Gene]) -> float:
    """Calculate the percentage of target genes mappable to the graph.
    
    Assume: graph central dogma inferred, collapsed to genes, collapsed variants 
    """
    graph_genes = set(get_nodes_by_function(graph, GENE))
    return len(graph_genes.intersection(genes)) / len(graph_genes)
def neurommsig_gene_ora(graph: BELGraph, genes: List[Gene]) -> float:
    
    graph_genes = set(get_nodes_by_function(graph, GENE))
    return len(graph_genes.intersection(genes)) / len(graph_genes)
def neurommsig_gene_ora ( graph : BELGraph , genes : List [ Gene ] ) -> float : graph_genes = set ( get_nodes_by_function ( graph , GENE ) ) return len ( graph_genes . intersection ( genes ) ) / len ( graph_genes )
Calculate the percentage of target genes mappable to the graph.
    
    Assume: graph central dogma inferred, collapsed to genes, collapsed variants
Calculate the percentage of target genes mappable to the graph . Assume : graph central dogma inferred collapsed to genes collapsed variants