Principal component regression based network

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. <doi:10.22271/09746315.2020.v16.i3.1358>.

Chiranjib Sarkar

EGRNi

Ensemble Gene Regulatory Network Inference

Dipayan Sarkar

Rajender Parsad

Dwijesh Mishra

PCN function

<dl><dt>x</dt>
<dd>microarray dataset with genes in columns and samples in rows.</dd></dl>

Arguments

Chiranjib Sarkar(cschiranjib9@gmail.com)

Author

Principal component regression based network — PCN

<dl>

<dt>x</dt>
<dd>microarray dataset with genes in columns and samples in rows.</dd>

</dl>

PCN: Principal component regression based network

Description

Usage

Value

Arguments

Author

References

Examples