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## Issue
I have several samples (10X output) that I have merged into one Seurat object. I had been using similar code for months with no problems, but recently, I have not been able to get past the `…
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Hi,
when validating our dataset, we found that genes that are specific for erythroid cells (like HBB), as well as immunoglobulins (e.g. IGHA1) appear quite frequently in cells that should not express…
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I think the feature descriptions for the diabetes set are incorrect. Referring to https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/datasets/descr/diabetes.rst
> s1 tc, T-Cells (a ty…
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## This section is required for PM/ADAPT team
### [Required] For what study (study_id) is this request?
Alignment
open-target-target-alignment-wxs-normal
open-target-target-alignment-wxs…
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Objective is to be able to provide feedback to @JarrodBaker on potential issues on the latest target iteration and also on diagnosing remaining tasks.
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The current function only estimates cell types in blood/saliva. Could you please also include the brain (DLPFC) cell type reference (from minfi) in this function?
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https://mp.weixin.qq.com/s/ypXTR4hO2uDe5S-JHJsttQ
ixxmu updated
3 years ago
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I have an rgSet with EPIC data.
As the original minfi::estimateCellCounts(..) don't seem to work with FlowSorted.Blood.EPIC I figured I'd try your implementation of it. If fails with this error:
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Dear all,
I noticed when doing CLR transformation on my RNA counts that a sparse matrix is turned into a regular matrix, causing my object to triple in size.
>str(data.blood.log@assays[["RNA"]]…