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proteomics
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2
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9
replies
228
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Extremely small p-values using Limma for proteomic data
Proteomics
limma
2 days ago • updated 10 hours ago
Abbey
• 0
0
votes
3
replies
168
views
Differences in differential analysis methods for RNA-Seq
DESeq2
StatisticalMethod
Proteomics
DifferentialExpression
RNASeq
updated 7 days ago by
ATpoint
★ 4.1k • written 8 days ago by
james.zhang20
• 0
0
votes
0
replies
233
views
Job:
Bioinformatics Spatial Omics and Proteomics Postdoc (Research Officer / Senior Research Officer) at WEHI (Melbourne, Australia)
Proteomics
JobPosting
SingleCell
Spatial
SpatialExperiment
9 weeks ago
Peter Hickey
▴ 740
0
votes
1
reply
207
views
analysis of overexpressed proteins in metaproteomes
Proteomics
ProteoMM
ProteomicsWorkflow
Proteome
written 5 months ago by
ary.lech
▴ 10
0
votes
0
replies
249
views
Normalising processed Proteomics data in R
Bioconductor
Proteomics
5 months ago
Joshua
• 0
1
vote
4
replies
761
views
How to find differentially expressed proteins from multiple conditions (>2) using proDA?
Proteomics
proDA
MultipleComparison
8 months ago
t.b.n.nguyen-9
• 0
1
vote
0
replies
456
views
Differential abundance analysis of phosphoproteomics data with multiple time points and conditions
Proteomics
DifferentialRegulation
limma
8 months ago
svlachavas
▴ 830
3
votes
4
replies
2.9k
views
Protein differential Expression analysis
differential expression
proteomics
updated 8 months ago by
ATpoint
★ 4.1k • written 6.3 years ago by
cardin.julie
• 0
0
votes
1
reply
620
views
R for Mass Spectrometry: Precursor Scan Number lost when converting .wiff to .mzML?
Proteomics
RforProteomics
ProteomicsWorkflow
Spectra
MassSpectrometryData
updated 9 months ago by
Laurent Gatto
1.6k • written 9 months ago by
mmvar
• 0
0
votes
5
replies
750
views
R for Mass Spectrometry: PSMatch package won't read .mzid file exported from ProteinPilot?
RforProteomics
Proteomics
ProteomicsWorkflow
updated 9 months ago by
Laurent Gatto
1.6k • written 9 months ago by
mmvar
• 0
0
votes
2
replies
810
views
Proteomics data with NA values
Proteomics
ProteoMM
ProteomicsWorkflow
updated 9 months ago by
mmvar
• 0 • written 11 months ago by
nkvnambiar
• 0
0
votes
0
replies
1.8k
views
what is the difference between iBAQ or LFQ?
Proteomics
DEP
limma
written 2.8 years ago by
barrypraveen
• 0
5
votes
6
replies
3.8k
views
Differential protein/biomarker expression using limma: is that possible?
Proteomics
NPX
limma
updated 3 months ago by
briankleiboeker
• 0 • written 3.2 years ago by
r.i.s.alnuwaysir
▴ 10
3
votes
1
reply
2.2k
views
Tutorial:
Mass Spectrometry Data Analysis with the Spectra Package
mass spectrometry
proteomics
metabolomics
Tutorial
written 3.6 years ago by
Johannes Rainer
★ 2.0k
1
vote
1
reply
1.4k
views
News:
Bioinformatics Summer School - July 2019 - UCLouvain (Belgium)
RNAseq
deseq2
proteomics
transcriptomics
workshop
News
written 5.2 years ago by
Laurent Gatto
1.6k
15 results • Page
1 of 1
Recent ...
Replies
Answer: Differential gene expression analysis results
by
ATpoint
★ 4.1k
Pease do not open multiple posts for the same issue: https://support.bioconductor.org/p/9158194/#9158222 The support site is not meant f…
Comment: deseq2 results
by
sajadahmad41454
• 0
thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.
Comment: deseq2 results
by
swbarnes2
★ 1.4k
It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…
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!
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…
Votes
Comment: deseq2 results
Comment: deseq2 results
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
Answer: Extremely small p-values using Limma for proteomic data
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