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Comment: Adjusting for baseline when having longitudinal data, mixed model and no treat by Anna ▴ 20
Dear Gordon , Thank you very much I will do as you suggested When analyzing other data (like with normally distributed errors) is standa…
Answer: Interpret plot from DiffBind by Rory Stark ★ 4.8k
This plot has two columns, one for diseased (plotted in magenta) and one for control (plotted in purple) samples. There are two sets of pea…
Comment: DiffBind - Retrieving the differentially bound sites - HOW to calculate fold-cha by Rory Stark ★ 4.8k
Are you confident that in the non-control condition there is not a systematic loss of binding levels reflecting a true biological signal? I…
Answer: Handling NA's in Deseq2 by ATpoint ★ 2.9k
DESeq2 objects are SummarizedExperiments and these follow standard R rules. If you had an object `dds` with a column `group` then you wo…
Comment: S4Vectors masking utils::findMatches is returning warnings in R 4.3 / Bioconduct by Marshall • 0
@[avatar game][1] Thanks for support. [1]: https://avatargame2.com
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Answer: Interpret plot from DiffBind
A: Generating a proper TxDb instance from NCBI GFF Annotations File
A: VariantAnnotation non-model species
A: Using R package 'limma' on pre-normalized counts and the effect of non-equivalen
Using R package 'limma' on pre-normalized counts and the effect of non-equivalent reads/sample on limma linear model
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