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Sort decreasing only numeric columns (more than one) in a dataframe with character and numeric column
sort
R
RNAseq
character
numeric
updated 3.7 years ago by
Ram
▴ 210 • written 3.7 years ago by
camillab.
▴ 10
3
votes
4
replies
4.0k
views
Sort clusterProfiler result
clusterProfiler
sort
updated 6.8 years ago by
sghoshucla
• 0 • written 8.7 years ago by
horcsct
▴ 10
3
votes
3
replies
1.5k
views
Sorting data frame derived from GRanges
granges
data.frame
sort
updated 8.5 years ago by
Michael Lawrence
★ 11k • written 8.5 years ago by
igor
▴ 40
17
votes
4
replies
16k
views
How to properly sort GRanges?
granges
genomicranges
sort
seqnames
order
updated 9.1 years ago by
yinghua
▴ 30 • written 9.5 years ago by
enricoferrero
▴ 660
4
votes
2
replies
2.5k
views
Easy way to sort GRangesList by seqname/start position?
grangeslist
sort
updated 9.3 years ago by
Hervé Pagès
16k • written 9.3 years ago by
Johannes Rainer
★ 2.0k
5 results • Page
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Answer: Differential gene expression analysis results
by
ATpoint
★ 4.1k
Pease do not open multiple posts for the same issue: https://support.bioconductor.org/p/9158194/#9158222 The support site is not meant f…
Comment: deseq2 results
by
sajadahmad41454
• 0
thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.
Comment: deseq2 results
by
swbarnes2
★ 1.4k
It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…
Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Dylan.Sheerin
• 0
Thank you very much, Gordon. I'll give voomLmFit a go!
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Gordon Smyth
50k
Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…
Votes
Comment: deseq2 results
Comment: deseq2 results
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
Answer: Extremely small p-values using Limma for proteomic data
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