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metabolite data
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XCMS2 of orbitrap data
metabolite data
xcms2
updated 15 months ago by
Elodie
• 0 • written 8.8 years ago by
Yashwant
▴ 10
5
votes
2
replies
1.5k
views
Is there any annotation package for MSEA?
metabolite data
updated 7.1 years ago by
shepherl
4.2k • written 7.1 years ago by
knishida
▴ 20
3
votes
5
replies
1.9k
views
Limma validity for only hundreds of genes/metabolites
limma
metabolite data
moderated t-test
updated 8.2 years ago by
Aaron Lun
★ 29k • written 8.2 years ago by
iglezer
• 0
2
votes
1
reply
1.4k
views
R package "metaboliteData" for package "pcaMethods"
metaboliteData
pcaMethods
pcamethods
r package
metabolite Data
updated 8.8 years ago by
Valerie Obenchain
★ 6.8k • written 8.8 years ago by
lukasz.galecki
▴ 10
4 results • Page
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Comment: Help with defining groups
by
Phinney, Brett
▴ 10
I got it working , thank you!!!
Comment: Check removeBatchEffect effectiveness
by
massimo
• 0
I would kindly ask for additional support. When not including the design_timepoint argument in removeBatchEffect and thus keeping the inter…
Comment: Error Loading Experiment from SimBenchData Package
by
ksankaran
• 0
Aha, that was it! The object was class Seurat, but I didn't have it installed. After installing, everything works as expected.
Comment: Streamlining the computing time for MiloDE p-value correction in large dataset?
by
ATpoint
★ 5.0k
Is a method that is so computationally expensive really beneficial and necessary? You seem to have biological replication, don't you, so ps…
Answer: NA values for DESeq2 p-values and adjusted p-values using large sample sizes
by
ATpoint
★ 5.0k
Outliers without replacement, independent filtering or all-zero counts for that gene. That's the three options that trigger NAs https://bio…
Votes
Comment: Check removeBatchEffect effectiveness
Gene expression associated with continuous (quantitative) traits (Limma/edgeR/correlation)
Answer: Error Loading Experiment from SimBenchData Package
Comment: incomplete imputation of missing values with LEA impute() function
Answer: Expected memory usage for analyzing large single-cell seq datasets (> 450,000 ce
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