genelens.netanalyzer.KeyNodesExtractor

class documentation

class KeyNodesExtractor:

Key node extractor by step-by-step removing nodes from the graph until the LCC is completely degraded Parameters ---------- input : instance of GeneralNet class return : dict(nodes: weights) Examples -------- >>> MirNet = netanalyzer.GeneralNet(path) # Load String db from path and create gene-gene interaction network. # If path=None than built-in String version loaded. >>> MirNet.get_LCC() # get the largest connected component from the network >>> extractor = KeyNodesExtractor() >>> extractor(MirNet)

Method	`__call__`	Undocumented
Method	`keys`	Returns key nodes
Instance Variable	`key_nodes`	key nodes. Available after call KeyNodesExtractor
Static Method	`_inflection_finder`	:param sigma: smoothing :param card_LCC: cardinality of the LCC :param n_CC: number of connected components in the Network :return: the index of the last key node, after the removal of which the network stops rapidly falling apart...
Method	`_extraction`	Undocumented
Instance Variable	`_graph_features`	Undocumented
Instance Variable	`_LCC`	Undocumented
Instance Variable	`_node_centrality`	Undocumented

def __call__(self, MirNet): ¶

Undocumented

def keys(self): ¶

Returns key nodes

key_nodes = ¶

key nodes. Available after call KeyNodesExtractor

@staticmethod
def _inflection_finder(card_LCC, n_CC, sigma, max_iter=100): ¶

:param sigma: smoothing :param card_LCC: cardinality of the LCC :param n_CC: number of connected components in the Network :return: the index of the last key node, after the removal of which the network stops rapidly falling apart

def _extraction(self): ¶

Undocumented

_graph_features = ¶

Undocumented

_LCC = ¶

Undocumented

_node_centrality = ¶

Undocumented