Bioconductor Corrected expression matrix

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RUVnormalize limma corrected expression matrix microarray

updated 5.7 years ago by Dario Strbenac ★ 1.5k • written 5.7 years ago by massimo.acquaviva.78 • 0

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Comment: using featureCounts (Subread) to count only spliced reads per gene - behavior of by Gregory • 0

Thanks for the prompt response, Gordon. I'm looking for count at the gene level - the gene id is the meta feature, so one row per gene in …

Comment: DiffBind handling of replicates and consensus by Rory Stark ★ 5.0k

You may want to try different values for the `normalize` parameter: dbObj <- dba.normalize(DBA = dbObj, library = "RiP", normalize=DBA…

Comment: DiffBind: dba.plotProfile(profiles) by Rory Stark ★ 5.0k

Yes, setting `raster_quality` down is a good way to address this issue. I've taken to using `raster_quality=1` in general as I think the pl…

Comment: DiffBind: dba.plotProfile(profiles) by Dorien ▴ 10

Not really an answer as I don't know really know why , but I also had the same issue and may have found a workaround ! If I set maxSites > …

Comment: Suggested package missing from Development version of Bioconductor by shepherl 3.5k

Is your package in review or already in Bioconductor? Its harder if it is in review because we can't tell that the package has or can build…

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Comment: DiffBind: dba.plotProfile(profiles)

Comment: DiffBind: dba.plotProfile(profiles)

Normalisation of data using DESeq2 with multi-groups

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