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Job:
Bioinformatics Laboratory Head in AI or machine learning (WEHI, Australia)
bioconductor
artificialintelligence
JobPosting
machinelearning
written 8 months ago by
Gordon Smyth
50k
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Job:
PhD-position in bioinformatics / computational biology
Mergeomics
Epigenome
Evolution
NGS
Aging
17 days ago
arne.sahm
• 0
3
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1
reply
1.5k
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Job:
Post Doctoral position in AI (Deep learning / Machine learning) approaches for Cancer Research, MRC Cancer Unit, University of Cambridge, UK
job
Job
machine learning
deep learning
computational biology
written 6.3 years ago by
Shamith.Samarajiwa
▴ 180
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Comment: How to retrieve gene ontology GO class from gene list?
by
bandconductor
• 0
Thanks, this is potentially a much faster way than parsing BiomRt. However, it is only returning one GO term right now (biomaRt returns a f…
Comment: Batch/method effect correction on a cohort of patients with RUVseq and DESeq2
by
James W. MacDonald
65k
Both `RUVseq` and `sva` are meant to be used to remove technical variability. The problem is the identification of variability that is tech…
Comment: Batch/method effect correction on a cohort of patients with RUVseq and DESeq2
by
Alexandre
• 0
Hello James, Thank you very much for your answer and taking the time to read my post. I understand your remark, but isn't the approach o…
Comment: PCA plot suggestions
by
JKim
• 0
cross post: https://www.biostars.org/p/9593486/
Answer: Batch/method effect correction on a cohort of patients with RUVseq and DESeq2
by
James W. MacDonald
65k
You cannot correct for technical variability due to batch if samples are nested in batch. The technical and biological differences are comp…
Votes
Answer: Batch/method effect correction on a cohort of patients with RUVseq and DESeq2
Answer: Use of negative binomial model for exponential decay rate estimation using DESeq
C: null model and DEXSeqDataSet object in DEXSEQ
A: Are published RNA seq data analyses often wrong in calculating p-values and FDR?
A: How to explain how DESeq2 works to someone with zero bioinformatics background?
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