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I have been using the package to estimate cell proportions in bulk brain tissues and I noticed that I consistently get 0s for microglia in multiple different datasets. I also performed estimate on so…
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Hi hisat-3n developers,
Thank you for building this wonderful aligner!
I am working on using hisat-3n to align all the single-cell DNA methylome and multiome data generated by the [snmC-seq2 (D…
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Hi Yasin,
While I was able to went through the workflow on a subset of 100 cells of our data ([link to previous issue](https://github.com/yasin-uzun/MAPLE.1.0/issues/1)), a problem related to rbind…
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Hi Nelson @UCDNJJ ,
Thanks for releasing this wonderful cell type taxonomy, I quickly performed an integration between our human single-cell DNA methylation dataset with your human sc-RNA-seq datas…
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# Design
## Additions
For Assay
MUST Use
mCT-seq [EFO:0030060]
"cell" or "nucleus"
MERFISH [EFO:0008992]
"na"
…
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https://mp.weixin.qq.com/s/QEBpSEA4P_mQyUnAfk2RYA
ixxmu updated
1 month ago
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https://mp.weixin.qq.com/s/knn89HmAEaKuVI7XJbH6KA
ixxmu updated
8 months ago
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https://mp.weixin.qq.com/s/yJJ2z8CTLp6tBNI5t4hxmg
ixxmu updated
10 months ago
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Hi, Zhijie:
Your work is excellent but I have some questions about snmC-seq:
The data you analyzed From Luo Lab offers a lot of preprocessing data, such as gene_level_human.txt.gz mCG_genebody_huma…
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The 2 methylation (snmC-seq) datasets here: ae1420fe-6630-46ed-8b3d-cc6056a66467
update to: EFO:0030027 (snmC-Seq2)
The 3 datasets here: 00109df5-7810-4542-8db5-2288c46e0424
update to: EFO:003002…