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Job:
Postdoc Positions in Computational Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
job
bioinformatics
computational biology
post-doc
postdoc
Job
6.9 years ago
cristina della beffa
▴ 30
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Job:
Data scientist postdoctoral position at Johns Hopkins
post-doc
data science
multimodal
brain disorders
biostatistics
Job
4.7 years ago
hjaarop1
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1.1k
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Job:
Post-doc: Bioinformatics/Metabolic networks (Genoscope, near Paris, France)
network
metabolism
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7.9 years ago
kbastard
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Job:
Two Post-doctoral Positions at University of Campinas
post-doc
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stats
computational biology
Job
7.1 years ago
Benilton Carvalho
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Comment: Suggested package missing from Development version of Bioconductor
by
shepherl
3.5k
Have you tried reaching out to the maintainers? If they do not fix the package it will remain unavailable and cause ERROR in your package.…
Answer: Batch effect adjust in model matrix
by
ATpoint
★ 3.4k
Each sample is a different day, that is called "nested", so there is nothing you can do here. Next time do a better experimental design, he…
Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
by
Michael Love
40k
Oh, I see. If you can't use counts + offset then I prefer lengthScaledTPM to DESeq2, i.e. `txi$counts` to `DESeqDataSetFromMatrix()`. So …
Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
by
Christian
• 0
I´m sorry causing confusion here, but the gene matrices I refer to are actually obtained via https://nf-co.re/rnaseq. The problem with the…
Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
by
Michael Love
40k
For the reasons outlined in the Soneson paper, I'd prefer this pipeline: https://nf-co.re/rnaseq You cannot use these scaled TPM approach…
Votes
Comment: Batch correction and repeated measures
batch effect : comBat or blocking in limma ?
Batch correction and repeated measures
Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
Comment: Phenotype effect - building a contrast matrix - grouping vs interaction
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