Mosclust: a software library for discovering significant structures in bio-molecular data | Zendy

Giorgio Valentini | Zendy

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Mosclust: a software library for discovering significant structures in bio-molecular data

Author(s) -

Giorgio Valentini

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl600

Subject(s) - resampling , computer science , cluster analysis , software , data mining , stability (learning theory) , selection (genetic algorithm) , r package , information retrieval , machine learning , algorithm , programming language

The R package mosclust (model order selection for clustering problems) implements algorithms based on the concept of stability for discovering significant structures in bio-molecular data. The software library provides stability indices obtained through different data perturbations methods (resampling, random projections, noise injection), as well as statistical tests to assess the significance of multi-level structures singled out from the data.

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