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EGRNi (version 0.1.6)

Ensemble Gene Regulatory Network Inference

Description

Gene regulatory network constructed using combined score obtained from individual network inference method. The combined score measures the significance of edges in the ensemble network. Fisher's weighted method has been implemented to combine the outcomes of different methods based on the probability values. The combined score follows chi-square distribution with 2n degrees of freedom. .

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Version

Install

install.packages('EGRNi')

Monthly Downloads

206

Version

0.1.6

License

GPL-3

Maintainer

Chiranjib Sarkar

Last Published

November 18th, 2022

Functions in EGRNi (0.1.6)

RidgN

Ridge regression based network
EGRN

Ensemble Gene Regulatory Network Inference
PCN

Principal component regression based network
Edg2Fw

To compute F score from edge scores
Edgescore

Edge score obtained from 4 different methods for Ensemble Gene Regulatory Network Inference
F_score

To compute F score using probability value
gene_exp

Gene expression data for Ensemble Gene Regulatory Network Inference
CRN

Correlation based network
IntsctEdg2Fw

To compute F score for significant edges from individual methods
PLSN

Partial least square based network
pvalue

Probability values for Ensemble Gene Regulatory Network Inference
weight

Weights for Ensemble Gene Regulatory Network Inference