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add funding
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README.Rmd

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The `raw` assay includes RNA abundance in the positive real scale (not transformed with non-linear functions, e.g. log sqrt). Originally CELLxGENE include a mix of scales and tranformations specified in the `x_normalization` column.
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The `cpm` assay includes counts per million.
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---
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This project have beeen funded by
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- *Silicon Valley Foundation* CZF2019-002443
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- *Bioconductor core funding* NIH NHGRI 5U24HG004059-18
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- *Victoria Cancer Agency* ECRF21036
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- *Australian National Health and Medical Research Council* 1116955

README.md

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@@ -64,18 +64,18 @@ get_metadata() |>
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dplyr::distinct(tissue, file_id)
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#> # Source: SQL [?? x 2]
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#> # Database: DuckDB 0.6.2-dev1166 [unknown@Linux 3.10.0-1160.81.1.el7.x86_64:R 4.2.0/:memory:]
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#> tissue file_id
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#> <chr> <chr>
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#> 1 lung 09132373-0ea7-4d8b-add8-9b0717781109
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#> 2 bronchus 09132373-0ea7-4d8b-add8-9b0717781109
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#> 3 cortex of kidney 670b45b1-80d9-4573-9c0b-fdc22784ef04
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#> 4 renal medulla 670b45b1-80d9-4573-9c0b-fdc22784ef04
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#> 5 colon 7bff556a-2448-4a32-8097-caad9d1a9a11
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#> 6 duodeno-jejunal junction 7bff556a-2448-4a32-8097-caad9d1a9a11
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#> 7 ileum 7bff556a-2448-4a32-8097-caad9d1a9a11
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#> 8 heart left ventricle 7c2ffd6d-9b5a-45ef-bd9d-fcfc21cd20c1
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#> 9 superior frontal gyrus 7c3ecfef-155d-4cb9-a049-089b63c45b44
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#> 10 renal medulla 7d0faf2c-623f-48b9-8159-ecc9797df96f
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#> tissue file_id
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#> <chr> <chr>
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#> 1 lung 09132373-0ea7-4d8b-add8-9b0717781109
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#> 2 respiratory tract epithelium 09132373-0ea7-4d8b-add8-9b0717781109
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#> 3 cerebellum 3fe53a40-38ff-4f25-b33b-e4d60f2289ef
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#> 4 telencephalon 3fe53a40-38ff-4f25-b33b-e4d60f2289ef
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#> 5 cortex of kidney 62a6cd85-7d85-4958-b9d9-eb0c5f2fbd2f
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#> 6 cortex of kidney 63523aa3-0d04-4fc6-ac59-5cadd3e73a14
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#> 7 kidney 63523aa3-0d04-4fc6-ac59-5cadd3e73a14
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#> 8 renal medulla 63523aa3-0d04-4fc6-ac59-5cadd3e73a14
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#> 9 renal pelvis 63523aa3-0d04-4fc6-ac59-5cadd3e73a14
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#> 10 kidney blood vessel 63523aa3-0d04-4fc6-ac59-5cadd3e73a14
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#> # … with more rows
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```
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`x_normalization` column.
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The `cpm` assay includes counts per million.
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------------------------------------------------------------------------
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This project have beeen funded by
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- *Silicon Valley Foundation* CZF2019-002443
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- *Bioconductor core funding* NIH NHGRI 5U24HG004059-18
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- *Victoria Cancer Agency* ECRF21036
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- *Australian National Health and Medical Research Council* 1116955

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