PCN: Principal component regression based network
In EGRNi: Ensemble Gene Regulatory Network Inference
View source: R/connectivity_score.R
PCN R Documentation
Principal component regression based network
Description
Principal component regression based network
Usage
PCN(x)
Arguments
x
microarray dataset with genes in columns and samples in rows.
Value
s matrix containing connectivity scores
Author(s)
Chiranjib Sarkar(cschiranjib9@gmail.com)
References
Sarkar, C., Parsad, R., Mishra, D.C. and Rai, A (2020). An ensemble approach for gene regulatory network study in rice blast. Journal of Crop and Weed , 16 , 1-8.
Examples
library(EGRNi)
data(gene_exp)
t_geneexp<-t(gene_exp)
PCN(t_geneexp)
EGRNi documentation built on Nov. 18, 2022, 5:12 p.m.
R Package Documentation
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View source: R/connectivity_score.R
| PCN | R Documentation |
Principal component regression based network
Description
Principal component regression based network
Usage
PCN(x)
Arguments
x |
microarray dataset with genes in columns and samples in rows. |
Value
s matrix containing connectivity scores
Author(s)
Chiranjib Sarkar(cschiranjib9@gmail.com)
References
Sarkar, C., Parsad, R., Mishra, D.C. and Rai, A (2020). An ensemble approach for gene regulatory network study in rice blast. Journal of Crop and Weed , 16 , 1-8.
Examples
library(EGRNi) data(gene_exp) t_geneexp<-t(gene_exp) PCN(t_geneexp)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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