Bioconductor GeneLenDataBase

Showing : geneLenDataBase • reset

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geneLenDataBase ChAMP

updated 14 months ago by shepherl 4.2k • written 14 months ago by Fang • 0

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697

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geneLenDataBase

updated 3.5 years ago by Kevin Blighe ★ 4.0k • written 3.5 years ago by Prerna • 0

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2.1k

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genelendatabase goseq

updated 9.6 years ago by Nadia Davidson ▴ 320 • written 9.6 years ago by Mehmet Ilyas Cosacak • 0

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3.7k

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goseq geneLenDataBase bioclite rstudio

updated 10.0 years ago by Martin Morgan 25k • written 10.0 years ago by amyfm ▴ 10

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1.6k

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goseq genelendatabase

10.2 years ago FeiYian Yoong ▴ 30

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2.5k

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geneLenDataBase mm10

updated 10.6 years ago by Hervé Pagès 16k • written 10.6 years ago by Robert K. Bradley ▴ 40

6 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…

Votes

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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