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» Extraction of informative genes from microarray data
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128
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BMCBI
2006
100views more  BMCBI 2006»
15 years 3 months ago
Empirical array quality weights in the analysis of microarray data
Background: Assessment of array quality is an essential step in the analysis of data from microarray experiments. Once detected, less reliable arrays are typically excluded or &qu...
Matthew E. Ritchie, Dileepa S. Diyagama, Jody Neil...
125
Voted
BMCBI
2004
87views more  BMCBI 2004»
15 years 3 months ago
Selection of informative clusters from hierarchical cluster tree with gene classes
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
Petri Törönen
BMCBI
2008
95views more  BMCBI 2008»
15 years 3 months ago
Gene set analyses for interpreting microarray experiments on prokaryotic organisms
Background: Despite the widespread usage of DNA microarrays, questions remain about how best to interpret the wealth of gene-by-gene transcriptional levels that they measure. Rece...
Nathan L. Tintle, Aaron A. Best, Matthew DeJongh, ...
93
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IV
2007
IEEE
112views Visualization» more  IV 2007»
15 years 9 months ago
Visualization of Growth Curve Data from Phenotype Microarray Experiments
Janet S. Jacobsen, Dominique C. Joyner, Sharon E. ...
137
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BMCBI
2007
159views more  BMCBI 2007»
15 years 3 months ago
Detecting differential expression in microarray data: comparison of optimal procedures
Background: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, ...
Elena Perelman, Alexander Ploner, Stefano Calza, Y...