Discovering multi–level structures in bio-molecular data through the Bernstein inequality

• Published in: BMC bioinformatics Vol. 9; no. S2; p. S4
• Main Authors: Bertoni, Alberto, Valentini, Giorgio
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 26.03.2008; BioMed Central; BMC
• Subjects: Algorithms; Computer Simulation; Databases, Factual; Gene Expression Profiling - methods; Information Storage and Retrieval - methods; Models, Biological; Oligonucleotide Array Sequence Analysis - methods; Proteome - metabolism; Signal Transduction - physiology
• ISSN: 1471-2105; 1471-2105
• DOI: 10.1186/1471-2105-9-S2-S4

The unsupervised discovery of structures (i.e. clusterings) underlying data is a central issue in several branches of bioinformatics. Methods based on the concept of stability have been recently proposed to assess the reliability of a clustering procedure and to estimate the "optimal" numb...