-
https://doi.org/10.1101/199315
>Single cell RNA sequencing (scRNA-seq) is a powerful technique to analyze the transcriptomic heterogeneities in single cell level. It is an important step for studyi…
-
Dear EcoTyper team,
Hi, all! Hope you been well and thanks so much for sharing amazing tool.
I was following tutorials using new TCGA data with in-house scRNA-seq dataset.
Initially, I run Tuto…
-
**From:** Mauricio Saenz
**Email:** mauricio.saenz-roldan@pasteur.fr
**Server IP:** 10.142.0.16
**Msg:** Hello,
I would like to use the datasets of scRNAseq to compare the expression of a group of…
-
From Chris Shults (+ my edits for gEAR purposes)
gEAR would be most useful for users to compare their scRNASeq or scATACSeq data to for cell annotation. They should directly take the unlabeled clus…
-
It seems that would be a powerful tool for the scRNA-seq data.
One of main concern is that acquiring reliable variants set for scRNA seq is challenge due to the high false positive and the limited se…
-
For example, I have different time point scRNA sequencing data to explore the clonal structure of these samples. How do I choose the bulk DNA time point? And scRNA-seq and bulk DNA sampling from diffe…
-
I am unable to install cellphonedb using the instructions on github and wanted to upload my data to your server for analysis. Could you please let me know when this will be available? Currently, I am…
-
Hi!
Is it possible use SCNorm on a dataset without multiple conditions?
I receive an error that says I must `Must supply conditions.`
Thanks in advance for answering my query.
Best regard…
-
Dear Saeyslab team,
Thank you for creating the great package!
I have been following the vignettes for analysis of scRNA-seq data of mouse embryonic tissues. I am mostly interested in differenti…
-
Status: Draft
Note: Putting this here as a place to park a potentially promising idea
Background - we have no objective measures of granularity in the Cell Ontology, although we are sometimes aske…