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methylationepic
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1.6k
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Beta values and M values cluster differently
methylationEPIC
minfi
microarray
epigenetics
EPIC
6.6 years ago
firestar
▴ 20
0
votes
0
replies
1.1k
views
Best normalisation method
microarray
methylationEPIC
epigenetics
minfi
EPIC
6.6 years ago
firestar
▴ 20
3
votes
6
replies
2.7k
views
could not find function "champ.load"
ChAMP
champ 2.9.10
methylationepic
7.6 years ago
david.ch
• 0
0
votes
0
replies
1.3k
views
differential methylation analysis with RnBeads
rnbeads
methylation
methylationepic
dna methylation
7.7 years ago
gabrielrfries
• 0
0
votes
1
reply
2.4k
views
ChAMP Methylation analysis error code "could not find function champ.load"
champ
methylationepic
updated 7.7 years ago by
Yuan Tian
▴ 290 • written 7.7 years ago by
csappleby-mallinder1
• 0
3
votes
4
replies
3.9k
views
Error while using champ.svd() function in subset of data
ChAMP
methylationepic
epicarray
epigenomics
updated 8.1 years ago by
rcavalca
▴ 140 • written 8.1 years ago by
karthikrpad
▴ 10
0
votes
0
replies
1.2k
views
Error when changing the database for minfi dropLociWithSnps
minfi
methylationepic
illuminahumanmethylationepicanno.ilmn10b.hg19
SNP
8.3 years ago
Ellen O
• 0
0
votes
2
replies
2.8k
views
Illumina methylationEPIC demo data in IDAT format?
methylation
illumina
EPIC
methylationepic
idat
updated 8.4 years ago by
Guido Hooiveld
★ 4.1k • written 8.5 years ago by
Ellen O
• 0
0
votes
4
replies
2.1k
views
minfi "mapToGenome" dimension error
methylation
epic microarray
minfi
methylationepic
8.6 years ago
nhejazi
• 0
0
votes
0
replies
1.3k
views
Shinymethyl 850K Array quality control signal cutoffs
shinymethyl
minfi
epic microarray
methylationepic
qualitycontrol
8.7 years ago
chelsey.ju
• 0
0
votes
3
replies
2.1k
views
MINFI missing samples in qcreports and densityplots
minfi
illumina
methylationEPIC
densityplot
8.8 years ago
annabelle.congras
▴ 10
11 results • Page
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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…
Comment: Join BOC Sciences at Drug Discovery Chemistry
by
teamardigen
• 0
Sounds like an exciting event for anyone passionate about small molecule innovation. The focus on discovery and optimization really drives …
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
dan.gatti
• 0
I am, but perhaps I'm not understanding how it should work. > sse = DropletUtils::read10xCounts(curr_files[1], mtx.class = 'SVT_Sparse…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
Did you use the development version as Aaron suggested? There is an argument to read the market matrix file directly into an `SVT_SparseMat…
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Join BOC Sciences at Drug Discovery Chemistry
Drug datasets for RNA-seq
Comment: Check removeBatchEffect effectiveness
Comment: Streamlining the computing time for MiloDE p-value correction in large dataset?
Answer: DESeq2 design for haplotype MPRA
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