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Results tagged with normalization
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user 3541
The tricky art of scaling quantitative data across libraries, typically to account for differences in sequencing depth. This can also be about scaling for read source length, like transcript or gene length, in order to enable comparisons across genes.
1
vote
RNASeq: Normalization, stabilization, gene length and rlog
I am not sure what you mean by "decimal data", however, if you really want to use "gene length" information for normalization, take a look at EDASeq. … Unlike DESeq or EdgeR, its normalization step takes gene length into account to produce "normalized counts", which you can feed into DESeq or EdgeR according to their manual. …
- 4,202
0
votes
In-sample and across samples normalized expression
We recommend to normalize for within-lane
effects prior to between-lane normalization. …
- 4,202
3
votes
Accepted
Cluster is split in 2-3 locations on tsne plot - Suerat
Your cluster labels come from graph clustering implemented in the FindClusters() function. The resulting clusters are then visualised with a 2D tSNE plot (via RunTSNE() and TSNEPlot()). So, your clust …
- 4,202