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pearsoncorrelation
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remove batch effect using limma
limma
rnaseq
batch effect
pearsoncorrelation
updated 8.2 years ago by
Aaron Lun
★ 28k • written 8.2 years ago by
elpsakkas
• 0
2
votes
1
reply
1.6k
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DiffBind affinity vs occupancy Heatmaps
diffbind
heatmap
pearsoncorrelation
updated 7.9 years ago by
Rory Stark
★ 5.2k • written 7.9 years ago by
shubhibartaria
▴ 10
1
vote
2
replies
10k
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Use of various distance measures and clustering methods in heatmap creation
gplots
heatmap.2
bioconductor
pearsoncorrelation
average
8.8 years ago
svlachavas
▴ 830
0
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2
replies
1.8k
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Cutoff for coexpressed gene pairs using Pearson/Spearman correlation
microarray
pearsoncorrelation
coexpression
spearman
updated 7.2 years ago by
James W. MacDonald
65k • written 7.2 years ago by
juls
• 0
0
votes
1
reply
912
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Human genes correlation to Bacterial genes
correlation
pearsoncorrelation
rna-seq
differential gene expression
updated 4 months ago by
ATpoint
★ 4.1k • written 6.1 years ago by
saad_k6
• 0
0
votes
0
replies
758
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How to manage self loop in gene coexpression network constructed using Pearson correlation in Cor() function
rna-seq
gcn
desq2
pearsoncorrelation
5.9 years ago
aishu.jp
▴ 30
6 results • Page
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Comment: Extremely small p-values using Limma for proteomic data
by
James W. MacDonald
65k
If you ever find yourself using the `@` function, you should reconsider what you are doing. There are vanishingly small instances when an e…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Michael Love
42k
Here is some example code <https://gist.github.com/mikelove/cbbc84634b6854c865cb5eb08ad9b245>
Comment: How to use spike-in information (sequences from another species) with DESeq2::DE
by
maria.soler
• 0
Hi, I have a question barely related to this topic. Do you use a custom reference genome combining your organism and the one used as a spik…
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.
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Comment: Extremely small p-values using Limma for proteomic data
Comment: Log-cpm values from limma
Comment: Log-cpm values from limma
Comment: deseq2 results
Comment: deseq2 results
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