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nnnorm
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How does one deal with spatial effects detected on single channel microarrays?
Microarray
Normalization
hu6800
affy
gcrma
marray
nnNorm
Harshlight
Microarray
hu6800
12.0 years ago
Scott Robinson
▴ 130
0
votes
6
replies
2.1k
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How does one deal with spatial effects detected on single channel microarrays?
Microarray
Normalization
affy
marray
nnNorm
Microarray
Normalization
affy
marray
nnNorm
updated 12.2 years ago by
cstrato
★ 3.9k • written 12.2 years ago by
Guest User
★ 13k
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1.2k
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nnNorm loading problem
nnNorm
nnNorm
updated 19.2 years ago by
Seth Falcon
★ 7.4k • written 19.2 years ago by
D.Enrique ESCOBAR ESPINOZA
▴ 360
0
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0
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869
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need a neural network package for microarray data
Normalization
nnNorm
Normalization
nnNorm
19.9 years ago
Tarca, Adi
▴ 570
0
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0
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1.1k
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Bug in maNormNN
Microarray
Normalization
GO
Visualization
Network
nnNorm
Microarray
Normalization
GO
20.0 years ago
Tarca, Adi
▴ 570
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Answer: Using DESeq2 for age prediction
by
ATpoint
★ 5.0k
The package has no such inbuilt function but you are free to use the vst (or any normalized) counts to train a regression model or classifi…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
Aaron already answered your question. If you have an HDF5 file, it will be read in as a `TENxMatrix` object, which isn't actually read in -…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
dan.gatti
• 0
Very strange. We have the same package versions. I tried adding the mtx.class, type, and delayed arguments, but it's still making the coun…
Comment: DESeq2 for candidate gene analysis
by
piffelpaff
▴ 20
thank you so much for answering Dr. Love!
Answer: DESeq2 for candidate gene analysis
by
Michael Love
43k
Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…
Votes
A: Multi-level experiments in Limma
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Answer: DESeq2 for candidate gene analysis
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