Research
Analysis of gene expression in a developmental context emphasizes distinct biological leitmotifs in human cancers
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* Corresponding author: Isaac S Kohane isaac_kohane@harvard.edu
1 Children's Hospital Informatics Program, Harvard-MIT Division of Health Sciences and Technology, Longwood Avenue, Boston, MA 02115, USA
2 The Jackson Laboratory, Main Street, Bar Harbor, ME 04609, USA
3 Department of Biomedical Engineering, Boston University, Cummington Street, Boston, MA 02215, USA
Genome Biology 2008, 9:R108 doi:10.1186/gb-2008-9-7-r108
Published: 8 July 2008Additional files
Additional data file 1:
Frequency plots for all cancer types and all developmental time series.
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Additional data file 2:
Frequency plots for all cancers and all time series after CC subtraction.
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Additional data file 3:
Frequency plots for the top 450 differentially expressed genes in CRCC1 and CRCC2.
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Additional data file 4:
Heatmap of probability distribution slopes after CC subtraction (analogously to Figure 3).
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Additional data file 5:
Heatmap of enrichment p-values for gene sets that ranked among the 20 most enriched in the downregulated genes of either group 1, 2 or 3.
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Additional data file 6:
Detailed annotation for all data sets used in this study.
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Additional data file 7:
Raw data for the lung development validation time series (after RMA-normalization).
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Additional data file 8:
This shows a bimodal distribution with the left peak containing group 3 tumors, the right peak containing group 1 tumors and intermediate cases (group 2) falling in between.
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Additional data file 9:
Probability distribution plots and linear regression fits for all cancers and all time series.
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Additional data file 10:
The same data as additional data file 9, but after CC subtraction.
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