Bioconductor Rhtslib

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Rhts Rhtslib

4.5 years ago anand_mt ▴ 90

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Rhtslib installation error zlib

updated 6.0 years ago by leoadam014 • 0 • written 7.0 years ago by boboshaq • 0

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2.8k

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software error Rhtslib zlib.h

updated 6.1 years ago by Hervé Pagès 16k • written 6.1 years ago by juandenciso14 • 0

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2.8k

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biocLite package installation withr biocinstaller rhtslib

updated 7.1 years ago by Martin Morgan 25k • written 7.1 years ago by merv ▴ 150

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2.7k

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Rhtslib

updated 7.4 years ago by Hervé Pagès 16k • written 7.4 years ago by Aaron Lun ★ 29k

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1.7k

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diffhic csaw Rhtslib

updated 8.0 years ago by Martin Morgan 25k • written 8.0 years ago by favorov • 0

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2.7k

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Rhtslib htslib package

updated 8.2 years ago by Martin Morgan 25k • written 8.2 years ago by Shian Su ▴ 40

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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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