Bioconductor Bionero

Showing : bionero • reset

votes

replies

198

views

plot_expression_profile BioNERO

5 months ago Christopher • 0

vote

replies

427

views

BioNERO

7 months ago matevz.likar • 0

vote

388

views

#BioNERO BioNERO Cystoscope

updated 13 months ago by Fabricio Almeida-Silva ▴ 40 • written 13 months ago by Hasani • 0

votes

456

views

GRN BioNERO

updated 13 months ago by Fabricio Almeida-Silva ▴ 40 • written 14 months ago by majeedaasim • 0

votes

replies

700

views

BioNERO Pviz

15 months ago • updated 13 months ago zxd95 • 0

votes

replies

860

views

BioNERO

updated 18 months ago by Fabricio Almeida-Silva ▴ 40 • written 18 months ago by Biologist • 0

6 results • Page 1 of 1

Recent ...

Replies

Answer: Differentially expressed genes in monocle pseudotime by Gordon Smyth 50k

You might try the methods in this paper: Cheng J, Smyth GK*, Chen Y* (2023). Unraveling the timeline of gene expression: A pseudotempora…

Comment: DESeq2 a lot of genes showing up as differentially expressed that only have 1 sa by Seyram M. • 0

Thank you Michael for your attention to my question. I am truly grateful. I subsetted the data using lines of codes to include only the g…

Comment: [DiffBind] Obtaining normalization factors by Henry ▴ 10

I see, thank you for your suggestion! I managed to use a separate RLE normalization to obtain the size factors.

Answer: Memory errors using read.bismark? by Peter Hickey ▴ 690

Thanks for sharing an example file. This is a very large non-CpG methylation dataset, which are tricky to work with for a number of reason…

Comment: Reading huge bismark coverage files using bbseq::read.bismark by Peter Hickey ▴ 690

Superficially, your issue is similar to [https://github.com/hansenlab/bsseq/issues/136](https://github.com/hansenlab/bsseq/issues/136). You…

Votes

Comment: [DiffBind] Obtaining normalization factors

Answer: ComplexHeatmap: add pch to rowAnnotation when the input is a data frame with var

Comment: Not fully paired differential gene expression analysis

Answer: GSVA error

Comment: DESeq2 - Plot Nr. Genes vs Variance explained in PCA

Awards • All