...
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: Vignette, 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. Profiled datasets of up to 27,000 genes on inexpensive, high capacity cloud resources. |
Choices for package 'publication' include:
- Making available on Sage website
- Making available in Synapse
- Publish to BioConductor
- Publish to CRAN
- Request that UCLA include as part of WGCNA package