Comments (2)
wikiselev
commented on June 16, 2024
Hello,
Thanks, we are very glad you like scmap!
- When similarity score is NA it means that
dropout_ratefor this gene is either 0% or 100%. scmapClusteralways returns a list with 3 items. If not, check that you using the latest version (1.1.5)scmap_scoresis the value of the top residuals of the linear fit that is produced by theselectFeaturesfunction.- Yes, the order shouldn't change. If it does, please let me know.
Cheers,
Vlad
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CodeInTheSkies
commented on June 16, 2024
Thanks for your quick response and all the answers!
Can you explain a bit about dropout rate, specially, that plot using which
you do feature selection? I have some difficulty understanding that plot.
This will also help me understand the NA values for similarity.
Thanks!
…On Mar 17, 2018 8:01 AM, "Vladimir Kiselev" ***@***.***> wrote:
Hello,
Thanks, we are very glad you like scmap!
1. When similarity score is NA it means that dropout_rate for this
gene is either 0% or 100%.
2. scmapCluster always returns a list with 3 items. If not, check that
you using the latest version (1.1.5)
3. scmap_scores is the value of the top residuals of the linear fit
that is produced by the selectFeatures function.
4. Yes, the order shouldn't change. If it does, please let me know.
Cheers,
Vlad
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Related Issues (20)
- Outdated References HOT 1
- scmapCell error HOT 1
- problem with scmapCluster HOT 3
- broken URL in README HOT 4
- Different number of elements passed to dot() function by scmapCell HOT 1
- Cancer tumor reference dataset HOT 2
- Issue with scmap-cluster function output/ Variable inconsistent assignment HOT 2
- Similarity values are not between 0 and 1 HOT 4
- error in selectFeatures HOT 1
- Encountering problems with selectFeatures HOT 1
- error on selectFeatures HOT 5
- How should I import data from seurat to scmap?
- Heat map missing data HOT 2
- Big dataset issue HOT 7
- Error using scmapCluster HOT 2
- What kind of reference dataset can be use? HOT 2
- Error on scmapCell HOT 1
- Quite low accuracy using index cluster HOT 2
- Questions about confidence scores
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