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» A Method for Similarity-Based Grouping of Biological Data
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53
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BIB
2008
88views more  BIB 2008»
14 years 9 months ago
An overview of image-processing methods for Affymetrix GeneChips
We present an overview of image-processing methods for Affymetrix GeneChips. All GeneChips are affected to some extent by spatially coherent defects and image processing has a num...
Jose M. Arteaga-Salas, Harry Zuzan, William B. Lan...
NIPS
2003
14 years 10 months ago
ICA-based Clustering of Genes from Microarray Expression Data
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
Su-In Lee, Serafim Batzoglou
COMPLIFE
2006
Springer
15 years 1 months ago
Relational Subgroup Discovery for Descriptive Analysis of Microarray Data
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...
Igor Trajkovski, Filip Zelezný, Jakub Tolar...
93
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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
15 years 9 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
VW
1998
Springer
133views Virtual Reality» more  VW 1998»
15 years 1 months ago
Information Flocking: Data Visualisation in Virtual Worlds Using Emergent Behaviours
A novel method of visualising data based upon the schooling behaviour of fish is described. The technique allows the user to see complex correlations between data items through the...
Glenn Proctor, Chris Winter