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Bacteria
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Job:
Hunting for Human Infectious Agents in Cancer using data from Genomics England's 100,000 genome project : PhD Studentship @ UEA, Norwich
PhD
cancer genomics
bacteria
pathogens
Job
7.2 years ago
Daniel Brewer
▴ 100
3
votes
1
reply
2.1k
views
Tools for GO term enrichment in prokaryotes
bacteria
GO enrichment
updated 8.8 years ago by
Marc Carlson
★ 7.2k • written 8.8 years ago by
ksw
▴ 20
2
votes
4
replies
1.4k
views
GO/KEEG enrichment for non-model bacteria - help for beginner
bacteria
GO
KEEG
RNAseq
4.0 years ago
liz.marjory
• 0
1
vote
8
replies
3.2k
views
RNA-seq bacterial transcriptome analysis in EdgeR with unusual dispersion trend
RNA-seq
edgeR
estimatedispersions
bacteria
9.3 years ago • updated 9.2 years ago
Mauve
• 0
0
votes
1
reply
1.6k
views
Using summarizeOverlaps for bacterial genomes
summarizeoverlaps
bacteria
e coli
unique reads
updated 8.2 years ago by
Valerie Obenchain
★ 6.8k • written 8.2 years ago by
as9309
• 0
0
votes
0
replies
1.2k
views
Job:
postdoc 3yrs bioinformatics bacterial population genomics: Wellington, New Zealand
bacteria
evolution
population
genomics
Job
6.8 years ago
una.ren
• 0
0
votes
1
reply
618
views
Syntenet application to bacterial genome and file processing
syntenet
Bacteria
synteny
updated 4 months ago by
Fabricio Almeida-Silva
▴ 40 • written 6 months ago by
kluongni
• 0
7 results • Page
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Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Dylan.Sheerin
• 0
Thank you very much, Gordon. I'll give voomLmFit a go! And for comparisons between the cohorts I presume duplicateCorrelation with standar…
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Gordon Smyth
50k
Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…
Comment: Log-cpm values from limma
by
Gordon Smyth
50k
No, it does not mean that. `voom()` uses the design matrix, including the W covariates, to compute precision weights but not to adjust the …
Comment: Extremely small p-values using Limma for proteomic data
by
Abbey
• 0
This is the code. The only part I changed was adding the contrasts.fit as you suggested. Thanks for taking a look! ``` # Load necessary …
Comment: Extremely small p-values using Limma for proteomic data
by
James W. MacDonald
65k
Probably. I would not expect such large fold changes. But without seeing your code, who knows?
Votes
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
Answer: Extremely small p-values using Limma for proteomic data
Bioconductor 3.19 is Released!
A: Volcanoplot with limma - RAW P-values or Adj.P-Values
Answer: Mac ARM64 build report for BioC 3.19 from 'kjohnson3' reporting ERROR which it
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