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syntenet
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MIcrosynteny block information - Syntenet
syntenet
microsynteny
blocks
synteny
10 weeks ago
Alexandros
• 0
0
votes
3
replies
291
views
Clustering coefficient of synteny network
Network
syntenet
Clustering
coefficient
11 weeks ago
Alexandros
• 0
2
votes
7
replies
742
views
Reading GFF file and pre-processing, run iinfer_syntenet(), input and output
syntenet
updated 8 months ago by
Fabricio Almeida-Silva
▴ 40 • written 8 months ago by
lwanderson8c
• 0
1
vote
10
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1.4k
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Interprteting the phylogenomic profiles plot
syntenet
synteny
Network
written 10 months ago by
Alexandros
• 0
4 results • Page
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Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
by
Michael Love
40k
Advantage and disadvantage depends on the aim, what you plan to do with them (testing, plots, etc.). lengthScaledTPM puts back *in* the ge…
Comment: DESeq2, results(dds, name = <reference>) interpretation results
by
James W. MacDonald
63k
No, putting -1 in the design matrix is a cell means model, which is the opposite. If you used `~ Cond + Cond:Time`, you would specify a fac…
Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
by
Christian
• 0
Thank you for the response and apologies for my late reply. I think I´m starting getting the concept now. The hints with the cqn is quite …
Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
by
Christian
• 0
Thank you for the response and apologies for my late reply. It`s a relieve that lengthScaledTPM and counts with offset both seem to perform…
Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
by
Christian
• 0
Thank you for the response (and to the other responders as well) and apologies for my late reply. Especially the reference to Soneson is ve…
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Answer: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
Answer: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
Answer: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
Answer: Remove duplicates of colData in TreeSummarizedExperiment
Answer: Remove duplicates of colData in TreeSummarizedExperiment
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