---
id: "claim:normalization-for-sampled-count-data-2022-05-06-biorxiv-v1:954c4048e6363a64988d"
kind: "claim"
title: "For example, the CPM assumption of overdispersion, that is at least two orders of magnitude larger than present in biolo"
description: "For example, the CPM assumption of overdispersion, that is at least two orders of magnitude larger than present in biological datasets, results in overcorrection and the removal of biological variation (Ahlmann-Eltze and Huber 2021) and results in the smallest CV in angelidis_2019 of 1.7."
url: "https://sina.bio/claim/for-example-the-cpm-assumption-of-overdispersion-that-is-at-least-two-o-1e16c0ff"
---

# For example, the CPM assumption of overdispersion, that is at least two orders of magnitude larger than present in biolo

For example, the CPM assumption of overdispersion, that is at least two orders of magnitude larger than present in biological datasets, results in overcorrection and the removal of biological variation (Ahlmann-Eltze and Huber 2021) and results in the smallest CV in angelidis_2019 of 1.7.

## Content

For example, the CPM assumption of overdispersion, that is at least two orders of magnitude larger than present in biological datasets, results in overcorrection and the removal of biological variation (Ahlmann-Eltze and Huber 2021) and results in the smallest CV in angelidis_2019 of 1.7.

## Metadata

```json
{
  "claim_position": 85,
  "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 example, the CPM assumption of overdispersion, that is at least two orders of magnitude larger than present in biological datasets, results in overcorrection and the removal of biological variation (Ahlmann-Eltze and Huber 2021) and results in the smallest CV in angelidis_2019 of 1.7.

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

### CPM-scale pseudocount assumptions overcorrected realistic biological dispersion and could remove biological variation.

- ID: `result:normalization-for-sampled-count-data-2022-05-06-biorxiv-v1:11ddf24a966d3cd455b8`
- Kind: `result`
- Direction: `incoming`
- URL: <https://sina.bio/result/cpm-scale-pseudocount-assumptions-overcorrected-realistic-biological-di-5b9970a1>

This claim supports this result.