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.

RANKS: A flexible tool for node label ranking and classification in biological networks

ARMANO, GIULIANO;
2016

Abstract

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.
Statistics and Probability; Medicine (all); Biochemistry; Molecular Biology; Computer Science Applications1707 Computer Vision and Pattern Recognition; Computational Theory and Mathematics; Computational Mathematics
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11584/197075
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