Package: AntAngioCOOL 1.2

Javad Zahiri

AntAngioCOOL: Anti-Angiogenic Peptide Prediction

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.

Authors:Babak Khorsand <[email protected]>

AntAngioCOOL_1.2.tar.gz
AntAngioCOOL_1.2.tar.gz(r-4.7-any)AntAngioCOOL_1.2.tar.gz(r-4.6-any)
AntAngioCOOL_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
AntAngioCOOL/json (API)

# Install 'AntAngioCOOL' in R:
install.packages('AntAngioCOOL', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openjdk

1.30 score 1 scripts 289 downloads 2 mentions 1 exports 76 dependencies

Last updated from:45df223486. Checks:2 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE244
source / vignettesOK226
linux-release-x86_64NOTE197
wasm-releaseOK149

Exports:AntAngioCOOL

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rJavarlangrpartRWekaRWekajarsS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr