Functions to analyze spatiotemporal models. More...

Detailed Description

Functions to analyze spatiotemporal models.

Functions
def	purity
	Function that reads in one labeled_pdf from create_DAG and returns the purity, defined as the sum of the squared probability of all trajectories. More...

def	temporal_precision
	Function that reads in two labeled_pdfs from create_DAG and returns the temporal_precision, defined as the probability overlap between two pathway models. More...

Function Documentation

def IMP.spatiotemporal.analysis.purity	(	labeled_pdf_fn,
		output_fn = `'purity.txt'`
	)

Function that reads in one labeled_pdf from create_DAG and returns the purity, defined as the sum of the squared probability of all trajectories.

Parameters

labeled_pdf_fn	string, labeled pdf file name (including the path); labeled_pdf from the total model
output_fn	string, name of output file (default: 'temporal_precision.txt')

Returns: temporal purity, written to output_fn

Note: This function is only available in Python.

Definition at line 81 of file spatiotemporal/Analysis.py.

def IMP.spatiotemporal.analysis.temporal_precision	(	labeled_pdf1_fn,
		labeled_pdf2_fn,
		output_fn = `'temporal_precision.txt'`
	)

Function that reads in two labeled_pdfs from create_DAG and returns the temporal_precision, defined as the probability overlap between two pathway models.

Parameters

labeled_pdf1_fn	string, labeled pdf file name (including the path); labeled_pdf from one independent sampling
labeled_pdf2_fn	string, labeled pdf file name (including the path); labeled_pdf from another independent sampling
output_fn	string, name of output file (default: 'temporal_precision.txt')

Returns: temporal precision, written to output_fn

Note: This function is only available in Python.

Definition at line 17 of file spatiotemporal/Analysis.py.