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prioGene  

Candidate Gene Prioritization for Non-Communicable Diseases Based on Functional Information
View on CRAN: Click here


Download and install prioGene package within the R console
Install from CRAN:
install.packages("prioGene")

Install from Github:
library("remotes")
install_github("cran/prioGene")

Install by package version:
library("remotes")
install_version("prioGene", "1.0.1")



Attach the package and use:
library("prioGene")
Maintained by
Erqiang Hu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-30
Latest Update: 2020-02-01
Description:
In gene sequencing methods, the topological features of protein-protein interaction (PPI) networks are often used, such as ToppNet . In this study, a candidate gene prioritization method was proposed for non-communicable diseases considering disease risks transferred between genes in weighted disease PPI networks with weights for nodes and edges based on functional information.
How to cite:
Erqiang Hu (2019). prioGene: Candidate Gene Prioritization for Non-Communicable Diseases Based on Functional Information. R package version 1.0.1, https://cran.r-project.org/web/packages/prioGene. Accessed 06 Jun. 2026.
Previous versions and publish date:
0.99.0 (2019-08-30 08:50), 1.0.0 (2020-01-08 07:10), 1.0.1 (2020-02-01 18:00)
Other packages that cited prioGene R package
View prioGene citation profile
Other R packages that prioGene depends, imports, suggests or enhances
Complete documentation for prioGene
Functions, R codes and Examples using the prioGene R package
Some associated functions: R_0 . deal_net . dise_gene . edge_weight . genes_mat . get_Q . get_R . get_R_0 . get_W . get_edge_weight . get_gene_mat . get_neighbor . get_net_disease_term . get_node_weight . get_term_mat . metabolic_net . net . net_disease . net_disease_term . node_weight . terms_mat . 
Some associated R codes: data.R . deal_GO.R . deal_net.R . prioritization.R . weight.R .  Full prioGene package functions and examples
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