Showing : tracks • reset
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Combining LD matrix plot with SNP and gene data with ggplot / ggbio tracks() function
ggplot2 ggbio plot tracks bioconductor
updated 7.8 years ago by ★ 11k • written 7.8 years ago by ▴ 10
0
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1
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1.4k
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ggbio tracks issue
ggbio tracks
8.0 years ago longoka • 0
0
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2
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1.3k
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ggbio: untransformed coordinate when using `tracks` function with IRanges or numeric value as `xlim`
ggbio tracks
updated 8.2 years ago by ▴ 10 • written 8.2 years ago by ▴ 20
2
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3
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1.9k
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ggbio tracks() function handling x axis in the wrong way
ggbio ggplot2 tracks genomics plot
8.2 years ago oswaldo.lorenzo ▴ 10
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2
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1.8k
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x-axis ticks are misaligned in ggbio tracks
ggbio bugs tracks autoplot
9.8 years ago cooketho • 0
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Answer: Downloading Metagenomic Data with Higher Taxonomic Units by Levi Waldron ★ 1.1k
I'm sorry I missed the first post! Yes, it is easy to agglomerate ranks in curatedMetagenomicData datasets. See the example in the vignette…
Comment: Differene between the Wald and LRT test for time-series gene expression data by Denise • 0
This makes a lot of sense, thank you very much!
Comment: Downloading Metagenomic Data with Higher Taxonomic Units by elozanoe • 0
Hi! I'm facing the same problem. Is there any easy way to output relative abundances of higher taxonomic units (up to kingdom), similar to…
Comment: Is it recommended to analyze different tissues together when using edgeR by Gordon Smyth 51k
Just plot the samples with plotMDS(). Alternatively you would use `voomLmFit()` with `sample.weights=TRUE` or `var.group=tissue`. In princ…
Comment: Handling Epic Array Data by Melisa Tecik • 0
Thanks a lot for the help. You saved my day
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A: Using of limma moderated t-test with "corrected" expression matrix resulting fr
Answer: Differene between the Wald and LRT test for time-series gene expression data
Answer: Using voom-transformed counts for unsupervised analyses (PCA, Random Forest, Ela
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