---
id: "claim:normalization-for-sampled-count-data-2026-06-10-biorxiv-v3:c66a9a57572606c7b03d"
kind: "claim"
title: "A second post-logarithm normalization can restore depth equalization while retaining variance stabilization."
description: ""
url: "https://sina.bio/claim/a-second-post-logarithm-normalization-can-restore-depth-equalization-wh-fb5b9654"
---

# A second post-logarithm normalization can restore depth equalization while retaining variance stabilization.

## Content

A second post-logarithm normalization can restore depth equalization while retaining variance stabilization.

## Metadata

```json
{
  "claim_position": 27,
  "source_publication_id": "version:normalization-for-sampled-count-data--2026-06-10-biorxiv-v3",
  "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--2026-06-10-biorxiv-v3`
- Kind: `publication`
- Direction: `incoming`
- URL: <https://sina.bio/publication/depth-normalization-for-single-cell-genomics-count-data-13cf6732>

This publication contains this grounded claim.

> a second normalization step after the logarithm could restore depth equalization while retaining the benefits of variance stabilization.

Source: 2026-06-10-biorxiv-v3.pdf — <https://sina.bio/source/2026-06-10-biorxiv-v3-pdf>

### Proportional fitting removes count-level depth dependence, but applying log1p reintroduces unequal total abundance; a se

- ID: `result:normalization-for-sampled-count-data-2026-06-10-biorxiv-v3:c7c41c25d08ddc353225`
- Kind: `result`
- Direction: `incoming`
- URL: <https://sina.bio/result/proportional-fitting-removes-count-level-depth-dependence-but-applying-b9c46948>

This claim supports this result.