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News:
EMBO|EMBL Conference "AI and Biology"
EMBL
Heidelberg
AI
Conference
12 months ago
Wolfgang Huber
★ 13k
0
votes
0
replies
954
views
Job:
REBIT-POD EMBL-IIT postdoctoral fellowships between Italy and UK
nanopore
job
EMBL
IIT
Job
5.4 years ago
mattia pelizzola
▴ 200
1
vote
0
replies
943
views
Job:
Postdoc Position in Computational Single Cell Genetics / Statistical Modeling
job
huber
embl
Job
5.7 years ago
Wolfgang Huber
★ 13k
1
vote
0
replies
1.1k
views
Job:
Staff researcher position in biostatistics / data science consulting at EMBL
EMBL
Job
5.9 years ago
Wolfgang Huber
★ 13k
0
votes
0
replies
1.4k
views
ExpressionAtlas: download RPKM/TPM
ExpressionAtlas
EMBL
TPM
6.9 years ago
António Miguel de Jesus Domingues
▴ 510
0
votes
0
replies
1.8k
views
Job:
Services/Outreach orientend bioinformatics positions at EMBL - Heidelberg
EMBL
services
workflows
training
Job
9.7 years ago
Wolfgang Huber
★ 13k
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Answer: Package needs internet access
by
James W. MacDonald
67k
It's going to need internet access. When you switch to NCBI seqlevels, you are calling this function ``` .fetch_chrom_sizes_from_UCSC_d…
Answer: List of DEGs belonging to an Agilent-single color microarray experiment using Li
by
Gordon Smyth
51k
The first coefficient in your linear model appears to be an intercept term. In this context, you should not be using `method="global"` beca…
Comment: Package needs internet access
by
firestar
▴ 20
Updated with more code.
Comment: Package needs internet access
by
James W. MacDonald
67k
It's not clear to me why (or that) `seqlevelsStyle` should be called on a `BSgenome` object. You will need to provide more code that preced…
Answer: Using voom-transformed counts for unsupervised analyses (PCA, Random Forest, Ela
by
James W. MacDonald
67k
The 'voom transformed counts' are just logCPM with a prior count of 0.5. The 'magic' of limma-voom is the weights that are computed and the…
Votes
Answer: Using voom-transformed counts for unsupervised analyses (PCA, Random Forest, Ela
Comment: Harmonizing Gene Annotations for Meta-Analysis of GSE68183 and GSE80178
Dotplot from enricher outputting very few genes
Answer: [How to construct a model.matrix ]
C: DESeq2 baseMean values for each sample
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