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pickSoftThreshold
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'Error in summary(lm1)$coefficients[2, 1] : subscript out of bounds' while running pickSoftThreshold in WGCNA
wgcna
picksoftthreshold
6.1 years ago
aditi
▴ 20
1
vote
1
reply
1.8k
views
WGCNA - Choosing the best threshold
wgcna
sft
picksoftthreshold
threshold
rnaseq
updated 6.3 years ago by
Peter Langfelder
★ 3.0k • written 6.3 years ago by
Fabricio Almeida-Silva
▴ 40
0
votes
2
replies
4.1k
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WGCNA - problems picking a suitable power
WGCNA
pickSoftThreshold
power
RNA-Seq
updated 8.2 years ago by
Peter Langfelder
★ 3.0k • written 8.2 years ago by
mrodrigues.fernanda
▴ 10
0
votes
0
replies
867
views
Drop of soft-threshold curve with high power values
wgcna
picksoftthreshold
scale-free topology
co-expression network
6.1 years ago
marcantoine.guery
• 0
0
votes
3
replies
1.7k
views
Unable to get soft threshold power using WGCNA for RNA-seq data
rnaseq
wgcna
picksoftthreshold
updated 7.6 years ago by
Lluís Revilla Sancho
▴ 730 • written 7.6 years ago by
divara01
• 0
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…
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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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