---
id: "claim:normalization-for-sampled-count-data-2022-05-06-biorxiv-v1:b727b1165000c9f05376"
kind: "claim"
title: "For Type 2 Pneumocytes in angelidis_2019, the cell-cell distances were correlated with cell depth when normalized with s"
description: "For Type 2 Pneumocytes in angelidis_2019, the cell-cell distances were correlated with cell depth when normalized with sctransform (0.71) and scalelog1pCP10k (0.54) but not with PFlog1pPF (0.06)."
url: "https://sina.bio/claim/for-type-2-pneumocytes-in-angelidis-2019-the-cell-cell-distances-were-c-85b89446"
---

# For Type 2 Pneumocytes in angelidis_2019, the cell-cell distances were correlated with cell depth when normalized with s

For Type 2 Pneumocytes in angelidis_2019, the cell-cell distances were correlated with cell depth when normalized with sctransform (0.71) and scalelog1pCP10k (0.54) but not with PFlog1pPF (0.06).

## Content

For Type 2 Pneumocytes in angelidis_2019, the cell-cell distances were correlated with cell depth when normalized with sctransform (0.71) and scalelog1pCP10k (0.54) but not with PFlog1pPF (0.06).

## Metadata

```json
{
  "claim_position": 106,
  "source_publication_id": "version:normalization-for-sampled-count-data--2022-05-06-biorxiv-v1",
  "source_work_id": "work:normalization-for-sampled-count-data"
}
```

## Connections (2)

### Depth normalization for single-cell genomics count data

- ID: `version:normalization-for-sampled-count-data--2022-05-06-biorxiv-v1`
- Kind: `publication`
- Direction: `incoming`
- URL: <https://sina.bio/publication/depth-normalization-for-single-cell-genomics-count-data-25f4bfd9>

This publication contains this grounded claim.

> For Type 2 Pneumocytes in angelidis_2019, the cell-cell distances were correlated with cell depth when normalized with sctransform (0.71) and scalelog1pCP10k (0.54) but not with PFlog1pPF (0.06).

Source: 2022-05-06-biorxiv-v1.pdf — <https://sina.bio/source/2022-05-06-biorxiv-v1-pdf>

### Poor depth normalization can make cell-cell distances and PCA components correlate with sequencing depth rather than bio

- ID: `result:normalization-for-sampled-count-data-2022-05-06-biorxiv-v1:31484e6b491753e2d7fe`
- Kind: `result`
- Direction: `incoming`
- URL: <https://sina.bio/result/poor-depth-normalization-can-make-cell-cell-distances-and-pca-component-f98f9fac>

This claim supports this result.