Bioconductor LncRNA

Showing : lncRNA • reset

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3.2k

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diffGeneAnalysis lncRNA

3 months ago John ▴ 10

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607

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lncRNA probeID mRNA genesymbol

2.6 years ago Sooni ▴ 10

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1.9k

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recount RNAseq gencode lncRNA gene annotation

updated 6.5 years ago by chris.wilks ▴ 70 • written 6.5 years ago by francesco.gandolfi ▴ 20

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1.9k

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GenomicFeatures TPM FPKM lncRNA

7.4 years ago Ina Hoeschele ▴ 620

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4.1k

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lncRNA featureCounts STAR annotation

updated 7.4 years ago by Wei Shi ★ 3.6k • written 7.4 years ago by inah ▴ 10

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1.8k

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microarray lncrna microrna mrna raw data

updated 7.9 years ago by Axel Klenk ★ 1.1k • written 7.9 years ago by ntagaras • 0

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3.8k

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arraystar lncRNA annotation annotationdbi

updated 10.1 years ago by xiangy7 • 0 • written 10.6 years ago by Kevin Coombes ▴ 430

7 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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