Hart: Hart

View source: R/Hart.R

HartR Documentation

Hart

Description

Hart Scoring algorithm based on a hypergeometric distribution error model (Hart et al.,2007).

Usage

Hart(datInput)

Arguments

datInput

A dataframe with column names: idRun, idPrey. Each row represent one unique protein captured in one pull-down experiment.

Value

A dataframe consists of pairwise combindation of preys identified in the input with Hart scores indicating interacting probabilities computed from negative log transformed Hypergeometric test P-values.

Author(s)

Qingzhou Zhang, zqzneptune@hotmail.com

References

Hart, G. Traver, Insuk Lee, and Edward M. Marcotte. 'A high-accuracy consensus map of yeast protein complexes reveals modular nature of gene essentiality.' BMC bioinformatics 8.1 (2007): 236. https://doi.org/10.1186/1471-2105-8-236

Examples

data(TestDatInput)
datScore <- Hart(TestDatInput)
head(datScore)

zqzneptune/SMAD documentation built on Nov. 6, 2024, 1:53 p.m.