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microarray
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4
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How to process Nimblegen microarray .pair files to get normalized expression matrix
Microarray
Preprocessing
NimbleGen
Normalization
written 17 months ago by
Sarah
• 0
1
vote
5
replies
2.2k
views
pd.mogene.2.0st Error Installing in R 3.1.2
oligo
microarray
r
bioconductor
written 9.2 years ago by
chandlerjd58
▴ 10
11
votes
4
replies
1.9k
views
LIMMA dupcor() function time issue.
limma
microarray
block
updated 7 months ago by
Gordon Smyth
50k • written 5.2 years ago by
tleona3
• 0
0
votes
7
replies
1.4k
views
A question about Limma
PROcess
Microarray
limma
19.4 years ago • updated 12 months ago
Gordon Smyth
50k
5
votes
8
replies
8.8k
views
Limma design with continuous and categorical covariates
limma
batch effect
covariates
microarray
updated 17 days ago by
hortense96
• 0 • written 7.7 years ago by
dmcleanuk
▴ 30
1
vote
6
replies
1.8k
views
can negative value microarray matrix data analysed by limma directly
limma
microarray
normalization
updated 9 months ago by
Gordon Smyth
50k • written 3.7 years ago by
linouhao
▴ 20
0
votes
2
replies
1.4k
views
Calculation of t-tests for factorial design
Microarray
limma
Microarray
limma
written 13.7 years ago by
Pascal Gellert
▴ 80
0
votes
2
replies
713
views
Probe off-target prediction: Identifying short sequence matches - potentially with mismatches & indels - in a transcriptome
Microarray
Alignment
Biostrings
written 12 months ago by
sandmann.t
▴ 70
2
votes
2
replies
1.1k
views
limma for gene expression analysis with big and unbalanced sample size
limma
microarray
statistics
updated 9 days ago by
XW
• 0 • written 7.9 years ago by
tati6406
• 0
2
votes
2
replies
2.4k
views
Biostatistician Position: UMass Medical School
Microarray
Microarray
written 16.8 years ago by
David Lapointe
▴ 190
10 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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