| 1 | == Report builder feedback 18 nov 2011 == |
| 2 | Yang: |
| 3 | * Use but does not help you to 'get to know' the data in the first place. |
| 4 | * Wanted: |
| 5 | * Quantative data: boxplot of measurements for each sample/individual, to inspect and detect/remove outliers |
| 6 | -> Use e.g. boxplot(log(metaboliteexpression, exp(2.71828))) |
| 7 | -> Or boxplot(log(t(metaboliteexpression), exp(2.71828))) for the (transposed) 'other view' |
| 8 | * Qualitative data: heatmap like view of e.g. genotypes |
| 9 | -> Use e.g. image(matrix(as.numeric(as.factor(genotypes)),nrow(genotypes),ncol(genotypes))) |
| 10 | -> Or heatmap(matrix(as.numeric(as.factor(genotypes)),nrow(genotypes),ncol(genotypes)),scale="none",Colv=NA, Rowv=NA) |
| 11 | Basten: |
| 12 | * Enter gene -> get all eQTL information! Simple as can be. |
| 13 | * Cis/trans information |
| 14 | * Find genes in a region and get their QTLS (sounds like gBrowse) |
| 15 | * Ofcourse everything in document 'concept map' |
| 16 | |