Showing : epivizr • reset
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What's new in epiviz
epivizr metavizr
5.7 years ago Hector Corrada Bravo ▴ 60
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887
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Survey on interactive visualization and Bioconductor
visualization epivizr
6.7 years ago • updated 6.6 years ago Hector Corrada Bravo ▴ 60
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Epivisr namespace error
epivizr
updated 6.7 years ago by ▴ 60 • written 6.7 years ago by ▴ 20
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Interactive Visualization with Epivizr (what's new in this release)
epivizr visualization
8.2 years ago Hector Corrada Bravo ▴ 60
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epivizr: Input data type for heatmap
epivizr epivizr
updated 8.7 years ago by ▴ 60 • written 8.7 years ago by ★ 1.3k
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BioC 2013, July 17 (Developer Day) 18-19: 'Early' registration deadline July 1
Cheminformatics Visualization Cancer Ovarian DEXSeq minfi DESeq2 BaseSpaceR epivizr minfi
9.6 years ago Martin Morgan 25k
6 results • Page 1 of 1
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Comment: Not able to download recount3 data by Niveditha ▴ 10
Thank you for the update, Leo. I'll check on this and get back to you in case the issue still persists.
Comment: Error in .order_seqlevels(chrom_sizes[, "chrom"]) : !anyNA(m32) is not TRUE by Hervé Pagès 16k
See https://github.com/Bioconductor/GenomeInfoDb/issues/82#issuecomment-1409482932
Comment: Error in .order_seqlevels(chrom_sizes[, "chrom"]) : !anyNA(m32) is not TRUE by Hervé Pagès 16k
See https://github.com/Bioconductor/GenomeInfoDb/issues/82#issuecomment-1409482932
Comment: Sva and batch effect by Gordon Smyth 47k
(+1). I find that ComBat tends to introduce spurious differential expression so, you think there's a batch effect affecting the variances a…
Comment: Advice for the analysis of microarray data with limma by Gordon Smyth 47k
You mean references on orthogonal polynomials? Polynomial approximation is a classic topic in mathematics and statistics and there are many…
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Answer: Sva and batch effect
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
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