Bioconductor MLSeq

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machine learning deep learning RNAseq MLSeq

6.8 years ago A ▴ 60

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1.2k

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MLSeq

8.9 years ago jonessara770 ▴ 10

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2.0k

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rnaseq machinelearning random forest mlseq

9.7 years ago anthony.hawkins ▴ 10

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1.5k

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MLSeq

10.0 years ago • updated 9.9 years ago philipp24 ▴ 30

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1.9k

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Classification edgeR DESeq MLSeq Classification edgeR DESeq MLSeq

updated 11.5 years ago by Wolfgang Huber ★ 13k • written 11.5 years ago by Dario Strbenac ★ 1.6k

5 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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