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» Evaluation of clustering algorithms for gene expression data
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BMCBI
2007
125views more  BMCBI 2007»
15 years 6 months ago
Identification of discriminative characteristics for clusters from biologic data with InforBIO software
Background: There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, suc...
Naoto Tanaka, Masataka Uchino, Satoru Miyazaki, Hi...
BMCBI
2007
109views more  BMCBI 2007»
15 years 6 months ago
Discarding duplicate ditags in LongSAGE analysis may introduce significant error
Background: During gene expression analysis by Serial Analysis of Gene Expression (SAGE), duplicate ditags are routinely removed from the data analysis, because they are suspected...
Jeppe Emmersen, Anna M. Heidenblut, Annabeth Laurs...
CCGRID
2008
IEEE
15 years 8 months ago
Scheduling Dynamic Workflows onto Clusters of Clusters using Postponing
In this article, we revisit the problem of scheduling dynamically generated directed acyclic graphs (DAGs) of multi-processor tasks (M-tasks). A DAG is a basic model for expressin...
Sascha Hunold, Thomas Rauber, Frédér...
SSDBM
2008
IEEE
114views Database» more  SSDBM 2008»
16 years 1 months ago
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
EACL
2006
ACL Anthology
15 years 8 months ago
Structuring Knowledge for Reference Generation: A Clustering Algorithm
This paper discusses two problems that arise in the Generation of Referring Expressions: (a) numeric-valued attributes, such as size or location; (b) perspective-taking in referen...
Albert Gatt