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I am trying to analyze the TCGA –LIHC dataset for DEGs but when I get to the data normalization, it says that it is not found
`>dataNorm
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Is there a feature to add custom expression data to the algorithm? ex if I have tumor signatures?
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Ben has a new assay that can measure expression levels for 100 - 1k transcripts with very low input material and cost. He also has some micro-dissection technology to sample a small piece of tissue fr…
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We're currently only extracting gene acronyms (whether canonical or noncanonical), ensembl IDs and RefSeq IDs. In sentences such as the following:
`SDF-1 and CXC receptor 4 ( CXCR4 ) expression in rh…
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Hi cellxgene-census team,
I am using cellxgene to train a foundation model, and I used scGPT and cellxgene census tool to download scRNA data.
When I set the release date as "2023-05-15", I have 5M…
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I am having an issue using Scissor to annotate bulk RNA sequencing (of paired tumor & normal samples) with single-cell tumor sequencing.
Here is my code:
```
## import bulk RNA seq data
bulk…
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Hi there,
I'd like to know why, for some projects (such as TCGA-DLBC), the query returns only "primary tumor" sample types, despite on TCGA it is also present "blood derived normal". I notice that t…
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Hello,
I am interested to deconvolute muscle tissues (non-tumor) bulk RNAseq data to muscle fiber subtypes, adipose cell and immune cell proportions and cell type specific expression matrix.
Do …
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The expression of individual alleles can be extracted from the output of seq2hla or alternatively we can try to recompute it ourselves (since we have the tumor RNA).
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```
URL of the application, including the query parameters that specify the
filter:http://explorer.cancerregulome.org/all_pairs/?dataset=kirc_01oct12_A_pw&t
_label=aldh4a1
Using KIRC data set with tu…