Comments (1)
Hi, when running the function is going to use diana
package to cut the tree. By default, several options are available, you can visualize these plots benchmarking
and benchmarking_curve
from the object that degPattern returns. You can choose a cutoff from there and use the function degPlotCluster
to choose that cutoff to split genes with the option cluster_column
indicating the value from the benchmarking plots that fits better your sample. You could do your own cutoff and then create a column in the table used by degPlotCluster
if you want to plot the clusters in the same way.
from degreport.
Related Issues (20)
- Plot shows only one coldata group on x-axis HOT 3
- lasso2 is an R4 only package HOT 1
- z-scores of gene abudance HOT 10
- Show Expression Changes from One Cluster HOT 5
- Extract One Cluster Plot from degPlotCluster HOT 3
- Extracting Gene-Gene distance matrix from DegPatterns HOT 3
- Sort each cluster graph numerically HOT 1
- Validate the clusters from degPatterns HOT 2
- Regarding Group # from degPatterns Output HOT 2
- Regarding Clustering Based on Expression Pattern HOT 1
- `lasso2` dependency no longer on CRAN HOT 5
- Boxplot position HOT 1
- issues with degPatterns not setting Time in Normalize HOT 8
- degCovariates does not shade by r value HOT 5
- Error in DEGpatterns: could not find function "set" HOT 11
- degPatterns crashes because of stack overloading HOT 9
- `scale` parameter is missing in `degPCA` HOT 1
- Clarification with degMerge function HOT 1
- New genes that did not exist in dds object suddenly showed up after degPatterns HOT 1
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from degreport.