Showing : readqpcr • reset
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NormqPCR and ReadqPCR
GO ReadqPCR NormqPCR GO ReadqPCR NormqPCR
updated 11.0 years ago by ▴ 300 • written 11.0 years ago by ▴ 10
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ReadqPCR: [[hkgs,]] incorrect number of dimensions
ReadqPCR NormqPCR ReadqPCR NormqPCR
updated 9.9 years ago by ▴ 120 • written 9.9 years ago by ★ 12k
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qRT-PCR - reading tab-delimited file (biol & tech replicates)
qPCR ReadqPCR qPCR ReadqPCR
10.0 years ago Maciej Jończyk ▴ 720
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reading qRT-PCR data
ddCt HTqPCR ReadqPCR ddCt HTqPCR ReadqPCR
8.7 years ago Guest User ★ 12k
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Incompatible phenoData object error in ReadqPCR package
ReadqPCR phenoData object
3.7 years ago jchoza • 0
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HTqPCR
convert qpcrNorm ddCt HTqPCR ReadqPCR convert qpcrNorm ddCt HTqPCR ReadqPCR
9.9 years ago Guest User ★ 12k
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readQpcrBatch function in qpcrNorm
qpcrNorm ReadqPCR qpcrNorm ReadqPCR
10.4 years ago Mueller, Alan ▴ 20
7 results • Page 1 of 1
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Answer: msPurity::spectralMatching Error in getSmeta(con, pids) : No meta data for spect by thomas.nigel.lawson • 0
This has been resolved (Windows Firewall issue) - see github issue https://github.com/computational-metabolomics/msPurity/issues/100
Answer: DESeq2 parameter infernce by Michael Love 39k
We use IRLS which is related to Newton-Raphson method. I suppose you can use any optimization method you prefer. We also sometimes use L-BF…
Answer: DESeq2 with 2 continuous factors, LRT, coeficients and slope by Michael Love 39k
See `?results` which describes what the LFC is when you perform an LRT: "*For analyses using the likelihood ratio test*..." Also in the …
Answer: DESeq2 with sample effect, unequal sample sizes by Michael Love 39k
For statistical analysis plans such as design and coefficient interpretation, I recommend collaborating with a local statistician or someon…
Comment: Bioconductor tool for curating annotations? by Lluís Revilla Sancho ▴ 700
I think you can find those transcripts not overlapping with a GRanges object easily via ?GenomicRanges::setdiff, but I don't know how to an…
Votes
Answer: AnnotationForge::makeOrgPackage "argument is missing, with no default" Errors
Comment: Error in .order_seqlevels(chrom_sizes[, "chrom"]) : !anyNA(m32) is not TRUE
Comment: Error in .order_seqlevels(chrom_sizes[, "chrom"]) : !anyNA(m32) is not TRUE
Answer: Limma-voom with inverse probability weights
A: Limma-voom with external observation weights
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