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» An Entropic Estimator for Structure Discovery
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BMCBI
2008
103views more  BMCBI 2008»
13 years 7 months ago
Discovering multi-level structures in bio-molecular data through the Bernstein inequality
Background: 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 s...
Alberto Bertoni, Giorgio Valentini
P2P
2006
IEEE
229views Communications» more  P2P 2006»
14 years 1 months ago
Cost-Aware Processing of Similarity Queries in Structured Overlays
Large-scale distributed data management with P2P systems requires the existence of similarity operators for queries as we cannot assume that all users will agree on exactly the sa...
Marcel Karnstedt, Kai-Uwe Sattler, Manfred Hauswir...
BMCBI
2007
183views more  BMCBI 2007»
13 years 7 months ago
Considerations in the identification of functional RNA structural elements in genomic alignments
Background: Accurate identification of novel, functional noncoding (nc) RNA features in genome sequence has proven more difficult than for exons. Current algorithms identify and s...
Tomas Babak, Benjamin J. Blencowe, Timothy R. Hugh...
BMCBI
2011
13 years 2 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
BMCBI
2008
122views more  BMCBI 2008»
13 years 7 months ago
Effects of dependence in high-dimensional multiple testing problems
Background: We consider effects of dependence among variables of high-dimensional data in multiple hypothesis testing problems, in particular the False Discovery Rate (FDR) contro...
Kyung In Kim, Mark A. van de Wiel