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https://mp.weixin.qq.com/s/ZEG2uWp33_4ZyHN_t_DrDw
ixxmu updated
2 weeks ago
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https://mp.weixin.qq.com/s/ZEG2uWp33_4ZyHN_t_DrDw
ixxmu updated
2 weeks ago
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If you dig in their github repository you will likely find the data already summarised for you in form of R script for reproducibility, so you have to avoid the 95% of work in getting raw single-cell …
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Hi Satija lab,
I want to get the order right for cell cycle regression and the ```SCTransform``` step in my scRNA-seq analysis workflow. For my purposes I found the 'Alternate Workflow' section in ht…
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Hi,
Thank you all the developers of `scIB` for the great package and also to suggest useful metrics to compare the performance of integration methods.
>WARNING: You may want to skip to the end…
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Hi Developers
I have few queries!!
First, I am trying to use Margaret for Trajectory analysis. I have Normalized and Scaled counts obtained from Seurat for single cells. For our data, we know from…
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Hi Alex,
Thanks for this nice package! I've been applying it to some single-cell RNA seq data in our lab (tensors with cell-types x genes x conditions), and it's yielding promising results.
Like…
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https://mp.weixin.qq.com/s/-ljyLbXIbU1BU9yqdCD3Kw
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The ECCITE-seq data consists of transcriptomics and surface protein data. Both types of data require quality control and preprocessing to ensure that the data is ready for downstream tasks.
**- QC …
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I'm using pseudobulk on scRNA-seq data from a Seurat object to compare two groups of cancer patients (with TP53 mutation vs wild-type) using Deseq2.
The most differentially expressed gene is LRP6,…