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BMCBI
2010
153views more  BMCBI 2010»
13 years 10 months ago
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
Eva Freyhult, Mattias Landfors, Jenny Önskog,...
BMCBI
2008
132views more  BMCBI 2008»
13 years 10 months ago
SCOWLP classification: Structural comparison and analysis of protein binding regions
Background: Detailed information about protein interactions is critical for our understanding of the principles governing protein recognition mechanisms. The structures of many pr...
Joan Teyra, Maciej Paszkowski-Rogacz, Gerd Anders,...
BMCBI
2007
79views more  BMCBI 2007»
13 years 10 months ago
Orthology prediction at scalable resolution by phylogenetic tree analysis
Background: Orthology is one of the cornerstones of gene function prediction. Dividing the phylogenetic relations between genes into either orthologs or paralogs is however an ove...
René T. J. M. van der Heijden, Berend Snel,...
PR
2008
124views more  PR 2008»
13 years 9 months ago
A daily behavior enabled hidden Markov model for human behavior understanding
This paper presents a Hierarchical Context Hidden Markov Model (HC-HMM) for behavior understanding from video streams in a nursing center. The proposed HC-HMM infers elderly behav...
Pau-Choo Chung, Chin-De Liu
SIGPRO
2008
155views more  SIGPRO 2008»
13 years 9 months ago
Recognition of off-line printed Arabic text using Hidden Markov Models
This paper describes a technique for automatic recognition of off-line printed Arabic text using Hidden Markov Models. In this work different sizes of overlapping and non-overlapp...
Husni A. Al-Muhtaseb, Sabri A. Mahmoud, Rami Qahwa...