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Job:
Postdoctoral Position in Bioinformatics to study Gene Regulatory Networks (University of Basel, Basel, Switzerland)
PostDoc
JobPosting
Basel
Switzerland
2.4 years ago
Robert Ivanek
▴ 730
0
votes
0
replies
921
views
Job:
Bioinformatician in Core Facility (100%)
JobPosting
Job
Switzerland
Basel
3.2 years ago
Robert Ivanek
▴ 730
0
votes
0
replies
875
views
Job:
Computational biology of cancer (Postdoc Position)
JobPosting
Basel
Switzerland
3.3 years ago
Robert Ivanek
▴ 730
0
votes
0
replies
951
views
Job:
Data Scientist Proteomics (100%), Biozentrum, University of Basel, Switzerland
Switzerland
JobPosting
Basel
Proteomics
3.5 years ago
Robert Ivanek
▴ 730
0
votes
0
replies
881
views
Job:
Bioinformatician in Experimental Cancer Research (80-100%)
Switzerland
Bioconductor
Basel
job
3.5 years ago
Robert Ivanek
▴ 730
0
votes
0
replies
847
views
Job:
Postdoctoral Fellow in Genomics (University of Basel, Switzerland)
PostDoc
Basel
Switzerland
Job
5.1 years ago
Robert Ivanek
▴ 730
0
votes
0
replies
1.1k
views
Job:
Postdoctoral Position: Posttranscriptional gene regulation in T cells (analysis of RNAseq, metabolomics)
Basel
switzerland
RNAseq
metabolomics
Job
6.1 years ago
Robert Ivanek
▴ 730
7 results • Page
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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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