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EMBL
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News:
EMBO|EMBL Conference "AI and Biology"
EMBL
Heidelberg
AI
Conference
2.2 years ago
Wolfgang Huber
★ 13k
0
votes
0
replies
1.1k
views
Job:
REBIT-POD EMBL-IIT postdoctoral fellowships between Italy and UK
nanopore
job
EMBL
IIT
Job
6.6 years ago
mattia pelizzola
▴ 200
1
vote
0
replies
1.2k
views
Job:
Postdoc Position in Computational Single Cell Genetics / Statistical Modeling
job
huber
embl
Job
6.9 years ago
Wolfgang Huber
★ 13k
1
vote
0
replies
1.3k
views
Job:
Staff researcher position in biostatistics / data science consulting at EMBL
EMBL
Job
7.0 years ago
Wolfgang Huber
★ 13k
0
votes
0
replies
1.7k
views
ExpressionAtlas: download RPKM/TPM
ExpressionAtlas
EMBL
TPM
8.1 years ago
António Miguel de Jesus Domingues
▴ 510
0
votes
0
replies
2.1k
views
Job:
Services/Outreach orientend bioinformatics positions at EMBL - Heidelberg
EMBL
services
workflows
training
Job
10.9 years ago
Wolfgang Huber
★ 13k
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Comment: DESeq2 - how many surrogate variables from svaseq, use of lfcshrink
by
ja569116
• 0
Hi @atpoint Thanks for the information. Could you please expand on when to use adjusted p-values vs nominal p-values. My understanding was …
Answer: limpa analysis advice
by
Gordon Smyth
53k
It is actually very hard to estimate the DPC from observed data, because the curve is function of unobserved intensities rather than a func…
Answer: When to use edgeR or limma
by
Gordon Smyth
53k
The short answer is that we generally prefer edgeR for applications with lots of small counts and limma for complex designs with random eff…
Comment: limpa-blank normalization and Spectronaut's PTM stoichiometry
by
Gordon Smyth
53k
I updated the above answer today.
Answer: When to use edgeR or limma
by
James W. MacDonald
68k
I would use edgeR's quasi-likelihood model for any analysis with a smaller number of observations (like 3 vs 3 or similar), but if you have…
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Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
A: deseq2 - paired samples in 2 sequencing types with very different library sizes
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