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» Combining microarrays and genetic analysis
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59
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BIB
2005
83views more  BIB 2005»
15 years 10 days ago
Combining microarrays and genetic analysis
Rudi Alberts, Jingyuan Fu, Morris A. Swertz, L. Al...
103
Voted
BMCBI
2004
208views more  BMCBI 2004»
15 years 8 days ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
BMCBI
2005
77views more  BMCBI 2005»
15 years 9 days ago
Combining Affymetrix microarray results
Background: As the use of microarray technology becomes more prevalent it is not unusual to find several laboratories employing the same microarray technology to identify genes re...
John R. Stevens, R. W. Doerge
89
Voted
BMCBI
2005
144views more  BMCBI 2005»
15 years 9 days ago
GeneRank: Using search engine technology for the analysis of microarray experiments
Background: Interpretation of simple microarray experiments is usually based on the fold-change of gene expression between a reference and a "treated" sample where the t...
Julie L. Morrison, Rainer Breitling, Desmond J. Hi...
141
Voted
CBMS
2007
IEEE
15 years 6 months ago
An Unsupervised and Fully-Automated Image Analysis Method for cDNA Microarrays
Microarray gene expression image analysis is a labor-intensive task and requires human intervention since microarray images are contaminated with noise and artifacts while spots a...
Eleni Zacharia, Dimitrios E. Maroulis