Bioconductor Prostar

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Prostar

2.8 years ago benoit.marchand • 0

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Prostar

updated 2.5 years ago by Wang • 0 • written 3.0 years ago by benoit.marchand • 0

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862

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prostar proteomics

6.4 years ago laural710 • 0

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1.5k

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prostar proteomics rforproteomics annotationforge

updated 6.5 years ago by Samuel Wieczorek ▴ 10 • written 6.5 years ago by lolli.langan ▴ 20

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1.4k

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Prostar Dapar clusterprofiler

updated 6.5 years ago by Samuel Wieczorek ▴ 10 • written 6.6 years ago by laural710 • 0

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1.2k

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install error package installation DAPAR prostar R version 3.4.4

6.6 years ago rita.reig • 0

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1.5k

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Prostar

updated 7.0 years ago by Samuel Wieczorek ▴ 10 • written 8.1 years ago by kamal.fartiyal84 ▴ 10

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1.6k

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Prostar DAPAR software error

updated 7.0 years ago by Samuel Wieczorek ▴ 10 • written 7.1 years ago by van.theodorakis • 0

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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

Answer: Differene between the Wald and LRT test for time-series gene expression data by James W. MacDonald 67k

The advantage to using the LRT is that it's an omnibus test that tells you if there are changes at any time point. If you have lots of time…

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A: correcting the batch effects in Limma and SVA

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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