Bioconductor Processamplicons

Showing : processamplicons • reset

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3.2k

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edger processamplicons rstudio

updated 9.0 years ago by Aaron Lun ★ 28k • written 9.0 years ago by thomas.leete • 0

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1.6k

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edgeR processamplicons shrna

updated 8.4 years ago by thomas.leete • 0 • written 8.6 years ago by Anne Deslattes Mays ▴ 10

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1.5k

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edger processamplicons sgrna crispr

updated 15 months ago by hyejo • 0 • written 6.1 years ago by Assa Yeroslaviz ★ 1.5k

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EdgeR CRISPR Barcode processamplicons

updated 6.0 years ago by sdalin • 0 • written 7.2 years ago by neggersjasper • 0

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1.2k

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processamplicons

updated 8.0 years ago by Matthew Ritchie ▴ 1000 • written 8.0 years ago by lucia.caceres • 0

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1.2k

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processamplicons edger barcode

8.0 years ago lucia.caceres • 0

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876

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processamplicons

8.0 years ago lucia.caceres • 0

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841

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edgeR processamplicons memory problem

5.8 years ago sdalin • 0

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791

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edger sgrna processamplicons

6.1 years ago Assa Yeroslaviz ★ 1.5k

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695

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processamplicons edgeR

updated 6.0 years ago by shepherl 3.9k • written 6.0 years ago by sdalin • 0

10 results • Page 1 of 1

Recent ...

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Comment: How to use spike-in information (sequences from another species) with DESeq2::DE by maria.soler • 0

Hi, I have a question barely related to this topic. Do you use a custom reference genome combining your organism and the one used as a spik…

Answer: Differential gene expression analysis results by ATpoint ★ 4.1k

Pease do not open multiple posts for the same issue: https://support.bioconductor.org/p/9158194/#9158222 The support site is not meant f…

Comment: deseq2 results by sajadahmad41454 • 0

thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.

Comment: deseq2 results by swbarnes2 ★ 1.4k

It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…

Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie by Dylan.Sheerin • 0

Thank you very much, Gordon. I'll give voomLmFit a go!

Votes

Comment: deseq2 results

Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie

Answer: Extremely small p-values using Limma for proteomic data

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