Bioconductor ChIPSeqData

Showing : ChIPSeqData • reset

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305

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ChIPSeqData genomes ChIPSeq

11 months ago user_bioinfo • 0

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489

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ChIPSeqData interact GenomicRanges HiC

14 months ago user_bioinfo • 0

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485

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DiffBind ChIPSeqData

17 months ago Dinesh • 0

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841

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DiffBind ChIPSeqData DESeq2

updated 17 months ago by Michael Love 43k • written 17 months ago by marcusn ▴ 10

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4.8k

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Genome bwamem ChIPSeqData index

updated 2.6 years ago by ATpoint ★ 5.0k • written 2.6 years ago by Maka • 0

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1.4k

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ChipSeq ChIPSeqData chipseqDB

2.9 years ago stacy.genovese • 0

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1.6k

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GeneExpression ChIPSeqData

updated 3.0 years ago by James W. MacDonald 68k • written 3.0 years ago by michela ▴ 20

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DiffBind ChIPSeqData

updated 3.3 years ago by millerh1 ▴ 10 • written 3.9 years ago by sfpacman • 0

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846

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ChIPSeqData

3.9 years ago tom.dean • 0

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2.8k

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ChIPseeker ChIPSeqData

updated 4.9 years ago by James W. MacDonald 68k • written 4.9 years ago by Morris ▴ 10

10 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…

Votes

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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