Bioconductor Coldata

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1.1k

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DESeq2 design coldata

updated 17 months ago by swbarnes2 ★ 1.4k • written 17 months ago by arfranco ▴ 130

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1.2k

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ColData pheatmap DESeq2

written 2.3 years ago by dania.khalid • 0

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2.0k

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SingleCellExperiment colData rename

updated 2.6 years ago by Basti ▴ 780 • written 2.6 years ago by achoppe ▴ 10

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898

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BiSeq Coldata

5.4 years ago akhaira • 0

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2.2k

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deseq2 levels factor colData

updated 6.6 years ago by Michael Love 43k • written 6.6 years ago by ariel ▴ 20

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50k

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deseq2 coldata

updated 6.9 years ago by swbarnes2 ★ 1.4k • written 6.9 years ago by mjrarcher ▴ 10

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4.2k

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variantannotation coldata

updated 7.0 years ago by Valerie Obenchain ★ 6.8k • written 7.0 years ago by lvclark ▴ 10

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4.8k

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deseq2 coldata NA

updated 14 months ago by Michael Love 43k • written 7.2 years ago by t.kuilman ▴ 170

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2.0k

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multiassayexperiment colData

updated 7.8 years ago by Levi Waldron ★ 1.1k • written 7.8 years ago by Lluís Revilla Sancho ▴ 760

9 results • Page 1 of 1

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Comment: Help with defining groups by Phinney, Brett ▴ 10

I got it working , thank you!!!

Comment: Check removeBatchEffect effectiveness by massimo • 0

I would kindly ask for additional support. When not including the design_timepoint argument in removeBatchEffect and thus keeping the inter…

Comment: Error Loading Experiment from SimBenchData Package by ksankaran • 0

Aha, that was it! The object was class Seurat, but I didn't have it installed. After installing, everything works as expected.

Comment: Streamlining the computing time for MiloDE p-value correction in large dataset? by ATpoint ★ 5.0k

Is a method that is so computationally expensive really beneficial and necessary? You seem to have biological replication, don't you, so ps…

Answer: NA values for DESeq2 p-values and adjusted p-values using large sample sizes by ATpoint ★ 5.0k

Outliers without replacement, independent filtering or all-zero counts for that gene. That's the three options that trigger NAs https://bio…

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Comment: Check removeBatchEffect effectiveness

Gene expression associated with continuous (quantitative) traits (Limma/edgeR/correlation)

Answer: Error Loading Experiment from SimBenchData Package

Comment: incomplete imputation of missing values with LEA impute() function

Answer: Expected memory usage for analyzing large single-cell seq datasets (> 450,000 ce

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