BMC Bioinformatics

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Mining gene expression data by interpreting principal components

Joseph C Roden1*, Brandon W King2, Diane Trout2, Ali Mortazavi2, Barbara J Wold2 and Christopher E Hart2

Author Affiliations

1 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA

2 Division of Biology, California Institute of Technology, Pasadena, USA

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BMC Bioinformatics 2006, 7:194 doi:10.1186/1471-2105-7-194

Published: 7 April 2006

Additional files

Additional File 1:

The supplemental files provided with this publication are only a representative set of those generated by the PCA interpretation software. The complete collections of PCA interpretation results for both the GNF and diabetes datasets are provided as a supplement to this publication at [35].

Tab-delimited text file listing the high and low extreme genes for PC7, including PC7 coefficient and additional GNF gene annotations: ProbeId, Name, Aliases, Description, Function and Protein Families.

Format: TXT Size: 42KB Download file

Open Data

Additional File 2:

The supplemental files provided with this publication are only a representative set of those generated by the PCA interpretation software. The complete collections of PCA interpretation results for both the GNF and diabetes datasets are provided as a supplement to this publication at [35].

Tab-delimited text file listing the conditions that are up, flat and down for PC7, ordered by decreasing difference of means.

Format: TXT Size: 3KB Download file

Open Data

Additional File 3:

The supplemental files provided with this publication are only a representative set of those generated by the PCA interpretation software. The complete collections of PCA interpretation results for both the GNF and diabetes datasets are provided as a supplement to this publication at [35].

Trajectory plot of the PC7 eigenvector, or "eigen-condition".

Format: PNG Size: 44KB Download file

Open Data

Additional File 4:

The supplemental files provided with this publication are only a representative set of those generated by the PCA interpretation software. The complete collections of PCA interpretation results for both the GNF and diabetes datasets are provided as a supplement to this publication at [35].

Scatter plot of gene probe expression levels projected onto PC6 vs. PC7 space. The PC7 high and low extreme gene sets are highlighted in red and blue colors, respectively.

Format: PNG Size: 77KB Download file

Open Data

Additional File 5:

The supplemental files provided with this publication are only a representative set of those generated by the PCA interpretation software. The complete collections of PCA interpretation results for both the GNF and diabetes datasets are provided as a supplement to this publication at [35].

Gene trajectory plots for PC7 high and low extreme gene sets with tissues in the order in which the original data were provided.

Format: PNG Size: 372KB Download file

Open Data

Additional File 6:

The supplemental files provided with this publication are only a representative set of those generated by the PCA interpretation software. The complete collections of PCA interpretation results for both the GNF and diabetes datasets are provided as a supplement to this publication at [35].

Gene trajectory plots for PC7 high and low extreme gene sets with tissues ordered by decreasing mean differences, and thus grouped by significance (up group at left, flat group in middle and low group at right).

Format: PNG Size: 346KB Download file

Open Data