Name
Abstract | ||
|---|---|---|
We visualize gene co-regulation patterns by creating 2D embeddings from microarray data corresponding to complete gene sets from the mouse genome, across large numbers of cell types. We use google maps and client-side graphics to disseminate pre-rendered such visualizations with a small but intuitive set of interactions. We conduct an anecdotal evaluation with domain specialists and demonstrate that biologists appreciate this approach because it facilitates low-overhead access to readily analyzable perspectives of unfamiliar datasets and because it offers a convenient way of disseminating large datasets in visual form. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-17277-9_51 | ISVC (3) |
Keywords | Field | DocType |
unfamiliar datasets,visualizing gene co-expression,analyzable perspective,gene co-regulation pattern,large number,large datasets,client-side graphics,anecdotal evaluation,gene set,cell type,google map,domain specialist,microarray data | Data science,Genome,Graphics,Gene,Information visualization,Computer science,Microarray analysis techniques,Dissemination | Conference |
Volume | ISSN | ISBN |
6455 | 0302-9743 | 3-642-17276-8 |
Citations | PageRank | References |
0 | 0.34 | 18 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Radu Jianu | 1 | 126 | 9.90 |
| David H. Laidlaw | 2 | 1781 | 234.58 |