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RANKS: a flexible tool for node label ranking and classification in biological networks.
Valentini, Giorgio; Armano, Giuliano; Frasca, Marco; Lin, Jianyi; Mesiti, Marco; Re, Matteo.
Afiliação
  • Valentini G; AnacletoLab, Department of Computer Science, University of Milan, 20135 Milan, Italy.
  • Armano G; Department of Electric and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy.
  • Frasca M; AnacletoLab, Department of Computer Science, University of Milan, 20135 Milan, Italy.
  • Lin J; AnacletoLab, Department of Computer Science, University of Milan, 20135 Milan, Italy.
  • Mesiti M; AnacletoLab, Department of Computer Science, University of Milan, 20135 Milan, Italy.
  • Re M; AnacletoLab, Department of Computer Science, University of Milan, 20135 Milan, Italy.
Bioinformatics ; 32(18): 2872-4, 2016 09 15.
Article em En | MEDLINE | ID: mdl-27256314
ABSTRACT
UNLABELLED RANKS is a flexible software package that can be easily applied to any bioinformatics task formalizable as ranking of nodes with respect to a property given as a label, such as automated protein function prediction, gene disease prioritization and drug repositioning. To this end RANKS provides an efficient and easy-to-use implementation of kernelized score functions, a semi-supervised algorithmic scheme embedding both local and global learning strategies for the analysis of biomolecular networks. To facilitate comparative assessment, baseline network-based methods, e.g. label propagation and random walk algorithms, have also been implemented. AVAILABILITY AND IMPLEMENTATION The package is available from CRAN https//cran.r-project.org/ The package is written in R, except for the most computationally intensive functionalities which are implemented in C. CONTACT valentini@di.unimi.it SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Reposicionamento de Medicamentos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Reposicionamento de Medicamentos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Itália