Bioconductor FeatureCount

Showing : featureCount • reset

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793

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featureCount Rsubread HPC

2.0 years ago kthapa • 0

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2.0k

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DESeq2 FeatureCount

updated 3.1 years ago by ATpoint ★ 5.0k • written 3.1 years ago by Jiayi • 0

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1.1k

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ExomeSeq featureCount

3.9 years ago adR ▴ 40

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2.4k

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featurecount rsubread GenomicAlignments

5.6 years ago Konstantinos Yeles ▴ 90

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3.7k

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dexseq rsubread featureCount software error

updated 5.8 years ago by Yang Liao ▴ 450 • written 5.8 years ago by seung.ho.steven.choi • 0

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2.6k

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featureCount rna-seq gene_id re_gene_id stringtie

updated 6.7 years ago by Wei Shi ★ 3.6k • written 6.7 years ago by IRAIA.MAIALEN • 0

6 results • Page 1 of 1

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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…

Comment: R course in Boston December 19-20 by eja.gaasa2e.r.m • 0

The upcoming XLSolutions R course in Boston on December 19 20 is a great opportunity to enhance your data skills. Whether you re a beginner…

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Comment: Check removeBatchEffect effectiveness

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

Comment: 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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