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AntAngioCOOL  

Anti-Angiogenic Peptide Prediction
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("AntAngioCOOL", "1.2")



Attach the package and use:
library("AntAngioCOOL")
Maintained by
Javad Zahiri
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-01
Latest Update: 2016-08-01
Description:
Machine learning based package to predict anti-angiogenic peptides using heterogeneous sequence descriptors. 'AntAngioCOOL' exploits five descriptor types of a peptide of interest to do prediction including: pseudo amino acid composition, k-mer composition, k-mer composition (reduced alphabet), physico-chemical profile and atomic profile. According to the obtained results, 'AntAngioCOOL' reached to a satisfactory performance in anti-angiogenic peptide prediction on a benchmark non-redundant independent test dataset.
How to cite:
Javad Zahiri (2016). AntAngioCOOL: Anti-Angiogenic Peptide Prediction. R package version 1.2, https://cran.r-project.org/web/packages/AntAngioCOOL. Accessed 06 Aug. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for AntAngioCOOL
Functions, R codes and Examples using the AntAngioCOOL R package
Some associated functions: AntAngioCOOL . 
Some associated R codes: AntAngiCOOL.R .  Full AntAngioCOOL package functions and examples
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