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XCMS metaMS

updated 5.3 years ago by ron.wehrens ▴ 20 • written 5.3 years ago by julien.kermorvant ▴ 30

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metams

6.2 years ago ryan.high • 0

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metaMS

updated 6.2 years ago by ron.wehrens ▴ 20 • written 6.2 years ago by f.f.vandenberg • 0

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metaMS xcmx CAMERA

updated 9.0 years ago by ron.wehrens ▴ 20 • written 9.0 years ago by lucie.conchou • 0

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2.0k

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metaMS xcms GC-MS metabolomics volatile organic compounds

updated 9.4 years ago by ron.wehrens ▴ 20 • written 9.4 years ago by lucie.conchou • 0

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xcms metaMS MSeasy r

updated 10.0 years ago by peer.karmaus • 0 • written 10.0 years ago by Nemo ▴ 80

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Comment: Streamlining the computing time for MiloDE p-value correction in large dataset? by ATpoint ★ 4.9k

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 ★ 4.9k

Outliers without replacement, independent filtering or all-zero counts for that gene. That's the three options that trigger NAs https://bio…

Comment: R course in Boston December 19-20 by eja.gaasa2e.r.m • 0

The upcoming XLSolutions R course in Boston on December 19 20 is a great opportunity to enhance your data skills. Whether you re a beginner…

Answer: Gatins Set error by James W. MacDonald 68k

`GatingSet` isn't a function in `flowCore`. It is however in `flowWorkspace`, which you would need to load first.

Answer: How to model DE for RNA-seq in concordant monozygotic twins? by Gordon Smyth 53k

Your question is more about science than it is about software syntax, and I can't give advice about how to conduct a scientific analysis, n…

Votes

Comment: incomplete imputation of missing values with LEA impute() function

Answer: Expected memory usage for analyzing large single-cell seq datasets (> 450,000 ce

Answer: ordinary t from limma [was: How would I normally compare swirl?]

Comment: readDNAStringSet with non DNA characters

Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design

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