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Goal | How we met it |
|---|---|
Make the Sage coexpression software runnable by any data analyst in R | Created easy to use, documented R package. (TODO: training class) |
Clearly explain the methodology underlying the coexpression algorithms. | Included links to literature in the R package documentation. |
Make the Sage coexpression software publicly available. | TBD (see below) |
Make the Sage coexpression software perform well, on commonly available hardware. | Used UCLA's accelerated algorithms. Accelerated the 'intra-module statistics' computation. Profiled datasets of up to 27,000 genes on inexpensive, high capacity cloud resources. |
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