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CBMS
2006
IEEE
13 years 10 months ago
Incorporating Gene Ontology in Clustering Gene Expression Data
In this paper we consider a general framework for clustering expression data that permits integration of various biological data sources through combination of corresponding dissi...
Rafal Kustra, Adam Zagdanski
AUSDM
2006
Springer
107views Data Mining» more  AUSDM 2006»
14 years 16 days ago
Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets
We describe the use of a kernel
Ahmad Al-Oqaily, Paul J. Kennedy
BMCBI
2010
115views more  BMCBI 2010»
13 years 9 months ago
Importance of replication in analyzing time-series gene expression data: Corticosteroid dynamics and circadian patterns in rat l
Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...
Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...
ISNN
2004
Springer
14 years 2 months ago
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, ...
BMCBI
2007
158views more  BMCBI 2007»
13 years 9 months ago
MetaLook: a 3D visualisation software for marine ecological genomics
Background: Marine ecological genomics can be defined as the application of genomic sciences to understand the structure and function of marine ecosystems. In this field of resear...
Thierry Lombardot, Renzo Kottmann, Gregory Giulian...