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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:45df223486. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 19 2024 |
R-4.5-linux | NOTE | Dec 19 2024 |
Exports:AntAngioCOOL
Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rJavarlangrpartRWekaRWekajarsscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
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AntAngioCOOL | AntAngioCOOL |