LncRNA2Target#

class openomics.database.interaction.LncRNA2Target(path='http://123.59.132.21/lncrna2target/data/', file_resources=None, edge_attr=None, filters=None, directed=True, relabel_nodes=None, version='high_throughput', **kwargs)[source][source]#

Bases: openomics.database.interaction.Interactions

Loads the database from .

Default path: . Default file_resources: {

“”: “”, “”: “”, “”: “”,

}

Methods Summary

load_network(file_resources, ...[, blocksize])

Handles data processing from file_resources to a Pandas DataFrame which contain edgelist data, then constructs and return a NetworkX Graph.

load_network_high_throughput(file_resources)

load_network_low_throughput(file_resources)

Methods Documentation

load_network(file_resources, source_col_name, target_col_name, edge_attr, directed, filters, blocksize=None)[source][source]#

Handles data processing from file_resources to a Pandas DataFrame which contain edgelist data, then constructs and return a NetworkX Graph. :param file_resources: a dict of file name and file path/object :param source_col_name: column name of the dataframe for source in the edge :type source_col_name: str :param target_col_name: column name of the dataframe for target in the edge :type target_col_name: str :param edge_attr: list of str for column data to include in each edge :type edge_attr: list :param directed: True to return a DiGraph(), else Graph() :type directed: bool :param filters: A dict of {column name: column values} to filter the dataframe :param blocksize ():

Returns

a NetworkX Graph or DiGraph

Return type

network

load_network_high_throughput(file_resources, source_col_name='lncrna_symbol', target_col_name='gene_symbol', edge_attr=None, directed=True, filters=None)[source][source]#
load_network_low_throughput(file_resources, source_col_name='GENCODE_gene_name', target_col_name='Target_official_symbol', edge_attr=None, directed=True, filters=None)[source][source]#