genelens.netanalyzer.Plots

class documentation

class Plots:

Constructor: Plots(MirNet, KeyNodesExtractor)

NetAnalyzer visualisation tools Parameters ---------- input : instances of GeneralNet and KeyNodesExtractor classes Examples -------- >>> MirNet = netanalyzer.GeneralNet(path) >>> MirNet.get_LCC() >>> extractor = KeyNodesExtractor() >>> extractor(MirNet) >>> net_plot = netanalyzer.Plots(MirNet, extractor) >>> net_plot.central_distr(out_path='./') >>> net_plot.key_nodes_extractor(out_path='./') >>> net_plot.graph_to_cytoscape()

Method	`__init__`	Undocumented
Method	`central_distr`	visualisation hist of centrality distribution
Method	`graph_to_cytoscape`	Network visualization via Cytoscape (must be installed)
Method	`key_nodes_extractor`	visualisation plot of key nodes selection
Instance Variable	`_card_LCC`	Undocumented
Instance Variable	`_centrality_node`	Undocumented
Instance Variable	`_idx_max_dy`	Undocumented
Instance Variable	`_key_nodes`	Undocumented
Instance Variable	`_miR_G`	Undocumented
Instance Variable	`_n_CC`	Undocumented

def __init__(self, MirNet, KeyNodesExtractor): ¶

Undocumented

def central_distr(self, out_path='./'): ¶

visualisation hist of centrality distribution

def graph_to_cytoscape(self): ¶

Network visualization via Cytoscape (must be installed)

def key_nodes_extractor(self, out_path='./'): ¶

visualisation plot of key nodes selection

_card_LCC = ¶

Undocumented

_centrality_node = ¶

Undocumented

_idx_max_dy = ¶

Undocumented

_key_nodes = ¶

Undocumented

_miR_G = ¶

Undocumented

_n_CC = ¶

Undocumented