Software
Mining for coexpression across hundreds of datasets using novel rank aggregation and visualization methods
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* Corresponding author: Jaak Vilo vilo@ut.ee
- † Equal contributors
1 Institute of Molecular and Cell Biology, Riia 23, 51010 Tartu, Estonia
2 Institute of Computer Science, University of Tartu, Liivi 2-314, 50409 Tartu, Estonia
3 Quretec, Ülikooli 6a, 51003 Tartu, Estonia
Genome Biology 2009, 10:R139 doi:10.1186/gb-2009-10-12-r139
Published: 4 December 2009Additional files
Additional file 1:
The datasets were all on mouse platform Affymetrix U74Av2. In addition the analysis included an unpublished dataset that cannot be found in databases.
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Additional file 2:
A table listing datasets used for MCM complex study.
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Additional file 3:
A table listing the 116 genes that occur in more than two of the six cohorts of subunits MCM1-MCM6, where each cohort contains 100 probesets with most correlation relative to the corresponding subunit.
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Additional file 4:
The figure shows correlation between number of significant query results and the number of datasets where the query gene standard deviation exceeds certain threshold. The maximal correlation is achieved when the threshold is 0.29.
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