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It would help if Cluster Analysis would arrange genes in the order of selected clusters and differential expression scores. That is, if say select say first three clusters, the order of genes in the emitted data by the widget should follow the list of genes displayed in each of the clusters, starting with the first cluster, and the going through the remaining clusters and ordered genes in each cluster. It may of course happen that there is an overlap (same gene present in different clusters), but the above described procedures solves this by adding this gene when first encountered by traversing clusters.
Here is an example. Say we have three clusters, each with following set of genes (they are ordered by differential expression score):
It would help if Cluster Analysis would arrange genes in the order of selected clusters and differential expression scores. That is, if say select say first three clusters, the order of genes in the emitted data by the widget should follow the list of genes displayed in each of the clusters, starting with the first cluster, and the going through the remaining clusters and ordered genes in each cluster. It may of course happen that there is an overlap (same gene present in different clusters), but the above described procedures solves this by adding this gene when first encountered by traversing clusters.
Here is an example. Say we have three clusters, each with following set of genes (they are ordered by differential expression score):
C1: G1, G4, G5
C2: G2, G6, G4, G10
C3: G11, G1, G6
The order of genes in the output data file is therefore:
G1, G4, G5, G2, G6, G10, G11
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