PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Model order selection for clustered bio-molecular data
Alberto Bertoni and Giorgio Valentini
In: Probabilistic Modeling and Machine Learning in Structural and Systems Biology, 17-18 June 2006, Tuusula, Finland.


In this paper we propose an improvement of the Ben-Hur algorithm to assess the significance level of the solutions, by introducing a quantitative approach and a statistical test based on the distribution of suitable similarity measures between pairs of clustered projected data. Moreover we propose also a new way to perturb the data, based on random projections into lower dimensional subspaces, that seems to be well-suited to the characteristics (high-dimensionality, redundancy, noise) of genomic and proteomic data.

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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:2243
Deposited By:Giorgio Valentini
Deposited On:08 October 2006