Bioconductor Consensus

Showing : consensus • reset

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782

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blockwiseconsensusModules WGCNA consensus

2.4 years ago Levi • 0

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1.9k

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Network consensus sampledBlockwiseModules resampling WGCNA

updated 3.7 years ago by Peter Langfelder ★ 3.0k • written 3.8 years ago by Caleb Bostwick ▴ 30

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2.0k

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consensus BAM

updated 5.9 years ago by Hervé Pagès 16k • written 5.9 years ago by O. William McClung • 0

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1.5k

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DiffBind consensus

updated 6.3 years ago by Rory Stark ★ 5.2k • written 6.3 years ago by aviv.de-morgan • 0

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1.7k

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SC3 plot consensus marker heatmap

updated 6.8 years ago by Vladimir Kiselev ▴ 150 • written 6.9 years ago by shaktirielland • 0

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1.4k

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wgcna wgcna package consensus

7.0 years ago 2323982403 ▴ 60

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2.3k

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diffbind consensus

8.7 years ago pabla86 • 0

7 results • Page 1 of 1

Recent ...

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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…

Votes

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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