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BMCBI
2008
95views more  BMCBI 2008»
15 years 7 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
BMCBI
2005
212views more  BMCBI 2005»
15 years 6 months ago
PAGE: Parametric Analysis of Gene Set Enrichment
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
Seon-Young Kim, David J. Volsky
BMCBI
2004
162views more  BMCBI 2004»
15 years 6 months ago
Identifying spatially similar gene expression patterns in early stage fruit fly embryo images: binary feature versus invariant m
Background: Modern developmental biology relies heavily on the analysis of embryonic gene expression patterns. Investigators manually inspect hundreds or thousands of expression p...
Rajalakshmi Gurunathan, Bernard Van Emden, Sethura...
BIB
2010
140views more  BIB 2010»
15 years 4 months ago
Next generation sequencing in functional genomics
Genome-wide sequencing has enabled modern biomedical research to relate more and more events in healthy as well as disease-affected cells and tissues to the genomic sequence. Now ...
Thomas Werner
BIOINFORMATICS
2011
15 years 2 months ago
Integrative network alignment reveals large regions of global network similarity in yeast and human
Motivation: High-throughput methods for detecting molecular interactions have produced large sets of biological network data with much more yet to come. Analogous to sequence alig...
Oleksii Kuchaiev, Natasa Przulj