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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 12.1 years ago by
cstrato
★ 3.9k • written 12.1 years ago by
Guest User
★ 13k
0
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1
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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
votes
0
replies
868
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need a neural network package for microarray data
Normalization
nnNorm
Normalization
nnNorm
19.9 years ago
Tarca, Adi
▴ 570
0
votes
0
replies
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
5 results • Page
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Comment: Interpretation of output of AffyRNAdeg and hist commands
by
debasainalsa
• 0
When working with AffyRNAdeg output it helps to think of the table like browsing a HEYTEA Menu each row shows a feature of your slides and …
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…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
Oh. ``` > z <- read10xCounts(c(tmpdir, tmpdir), mtx.class = "SVT_SparseMatrix", delayed = TRUE) > class(counts(z)) [1] "DelayedMatrix" att…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
That's weird. Using the example data works for me. ``` > example(read10xCounts) rd10xC> # Mocking up some 10X genomics output. rd10xC> ex…
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Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
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