Packaged: 2018-10-02 11:15:28 UTC; alessioserafini

2.2.1), ggthemes (>= 3.4.0), cli, crayon, utils, stats
Packaged: 2019-05-31 11:27:31 UTC; alessioserafini

Description: Projection Pursuit (PP) algorithm for dimension reduction based on Gaussian Mixture Models (GMMs) for density estimation using Genetic Algorithms (GAs) to maximise an approximated negentropy index. For more details see Scrucca and Serafini (2019) <doi:10.1080/10618600.2019.1598871>.
Packaged: 2019-07-08 03:53:31 UTC; alessioserafini

Title: Predict protein-protein interactions based on functional and
Author: Yue Deng, Rongjie Shao, Gang Wang and Yuanjun Sun, with contributions from Guangchuang Yu.
Description: This package provides functions for computing similarities between proteins based on their GO annotation, KEGG annotation and PPI network topology. It integrates seven features (TCSS, IntelliGO, Wang, KEGG, Jaccard, RA and AA) to predict PPIs using an SVM classifier. Some internal functions are derived from R package GOSemSim authored by Guangchuang Yu.
Imports: AnnotationDbi, igraph, e1071, GOSemSim, GO.db
Enhances: KEGG.db, org.Hs.eg.db, org.Sc.sgd.db, org.Ag.eg.db,
Packaged: 2015-01-29 10:13:00 UTC; Administrator
X-CRAN-Comment: Earlier versions were removed as source code had been

Title: Predict Protein-Protein Interactions Based on Functional and
Author: Yue Deng, Rongjie Shao, Gang Wang and Yuanjun Sun
Description: Computing similarities between proteins based on their GO annotation, KEGG annotation and PPI network topology. It integrates seven features (TCSS, IntelliGO, Wang, KEGG, Jaccard, RA and AA) to predict PPIs using an SVM classifier. Some internal functions are derived from R package GOSemSim authored by Guangchuang Yu.
Packaged: 2015-02-28 02:59:20 UTC; Administrator

Imports: AnnotationDbi, igraph, e1071, GOSemSim, GO.db, stats, utils
Packaged: 2015-07-01 09:03:34 UTC; Administrator

Description: Computing similarities between proteins based on their GO annotation, KEGG annotation and PPI network topology. It integrates seven features (TCSS, IntelliGO, Wang, KEGG, Jaccard, RA and AA) to predict PPIs using an SVM classifier. Some internal functions to calculate GO semantic similarities are re-used from R package GOSemSim authored by Guangchuang Yu.
Packaged: 2015-07-28 01:13:18 UTC; Administrator