Bioconductor Feature selection

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sigFeature svm-rfe sigCVError feature selection

5.3 years ago rekren ▴ 20

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rnaseq machine learning feature selection

updated 6.9 years ago by chris86 ▴ 420 • written 6.9 years ago by marak • 0

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limma clustering differential gene expression hierarchical clustering feature selection

8.1 years ago • updated 8.0 years ago lirongrossmann ▴ 80

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microarray biobase feature selection t.test R

updated 10.1 years ago by svlachavas ▴ 840 • written 10.1 years ago by babumanish837 ▴ 10

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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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