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-4.5-noble)AntAngioCOOL_1.2.tar.gz(r-4.4-noble)
AntAngioCOOL_1.2.tgz(r-4.4-emscripten)AntAngioCOOL_1.2.tgz(r-4.3-emscripten)
AntAngioCOOL.pdf |AntAngioCOOL.html✨
AntAngioCOOL/json (API)

# Install 'AntAngioCOOL' in R:
install.packages('AntAngioCOOL', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

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

1.30 score 1 scripts 221 downloads 2 mentions 1 exports 78 dependencies

Last updated 8 years agofrom:45df223486. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-linuxNOTENov 19 2024

Exports:AntAngioCOOL

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rJavarlangrpartRWekaRWekajarsscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr