Bioconductor Deconvolution

Showing : deconvolution • reset

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1.2k

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deconvolution r scRNAseq bioinformatics

2.2 years ago Hasan Alanya • 0

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922

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Deconvolution

2.5 years ago Barista • 0

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656

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PSEA Deconvolution

3.9 years ago kavator ▴ 30

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884

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methylCC deconvolution methylation dmrseq serum

4.1 years ago marcin.bazyliszek • 0

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747

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limma microarray deconvolution cell type

updated 4.2 years ago by Gordon Smyth 50k • written 4.2 years ago by antgomo • 0

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1.3k

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deseq2 deconvolution normalization limma

updated 5.3 years ago by Michael Love 42k • written 5.3 years ago by bruce.moran ▴ 30

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1.1k

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deseq2 deconvolution rnaseq

updated 5.9 years ago by Michael Love 42k • written 5.9 years ago by jennyl.smith12 • 0

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909

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deconvolution methods

6.3 years ago casey.rimland ▴ 150

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1.0k

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deconvolution rnaseq psea

6.3 years ago WouterDeCoster ▴ 130

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2.2k

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deconvolution rna-seq

updated 8.6 years ago by Steve Lianoglou ★ 13k • written 8.6 years ago by Pauly Lin ▴ 150

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1.6k

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deconvolution cellmix

8.9 years ago carleshf ▴ 10

11 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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