Bioconductor Biocfilecache

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540

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rBLAST BiocFileCache

updated 7 months ago by shepherl 4.2k • written 7 months ago by Matthew Thornton ▴ 380

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1.9k

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AnnotationHub BiocFileCache

15 months ago Lluís Revilla Sancho ▴ 760

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BiocFileCache AnnotationHub ExperimentHub

23 months ago • updated 17 months ago shepherl 4.2k

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BiocFileCache

3.4 years ago • updated 3.0 years ago kent.riemondy ▴ 20

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3.9k

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BiocFileCache biomaRt

updated 3.5 years ago by Martin Morgan 25k • written 3.5 years ago by ZheFrench ▴ 60

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985

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BiocFileCache

updated 4.1 years ago by Mike Smith ★ 6.6k • written 4.1 years ago by pierrick.roger • 0

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tximeta BiocFileCache

updated 4.5 years ago by Michael Love 43k • written 4.5 years ago by judith.risse • 0

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1.6k

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BiocFileCache AnnotationHub ExperimentHub cache

4.5 years ago shepherl 4.2k

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1.1k

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BiocFileCache

updated 5.6 years ago by shepherl 4.2k • written 5.6 years ago by Qiang ▴ 80

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…

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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