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### Description of feature
Hello, thanks for the great work with this pipeline. I would like to try to use this pipeline to call somatic mutations in single cell rna-seq data. I have my own WGS refer…
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deng老师您好:
我在阅读您的文章Polygenic regressionuncoverstrait-relevant cellular contexts through pathway activation transformation of single-cell RNA sequencing data时,发现图3E和图4A是同一套 BMMC scRNA-seq 数据。然而,图…
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https://doi.org/10.1101/390153
> A fundamental problem in biomedical research is the low number of observations available, mostly due to a lack of available biosamples, prohibitive costs, or ethica…
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Hi,
I found the list missed some recent papers:
>[Multimodal Integration] [2022 Nature Biotechnology] Multi-omics single-cell data integration and regulatory inference with graph-linked embedding
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See #36
- [Colab: basics.ipynb](https://colab.research.google.com/github/pachterlab/kallistobustools/blob/master/notebooks/basic.ipynb#scrollTo=XWS-gw-uieMC)
- [Modular and efficient pre-processi…
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Recently, I have tried this method to infer gene co-expression in single-cell RNA-seq data, but I found it was too slow in R, could it be possible to implement it in Python with the input of anndata.
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What do you recommend to try out for "big data" but for RNA seq instead of single cell?
mdanb updated
2 years ago
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Hi there, thanks for this helpful package!
I am integrating single-cell RNA-seq and ATAC-seq data where one cluster is missing in one dataset, so the sizes of the two datasets are different. I can…
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Thank you for your very helpful package. A single cell RNA sequencing experiment was done in my lab some 3 years ago on cells that were sorted and treated with a profibrotic agent. I wish to see if th…
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Hi,
Thank you for providing this software. I have some questions about its usage that I was hoping you might be able to answer.
1. In the tutorial, bdat_initial is the gene x sample matrix for…