---
id: "claim:determining-gene-specificity-from-multivariate-single-cell-rna-sequencing-data-4e791ab86b:1a8033e991c33ff57f6a"
kind: "claim"
title: "Conversely, generalized linear model (GLM)frameworkssuchasDESeq2(19)andEdgeR(20), of- fer decomposability but rely on pa"
description: "Conversely, generalized linear model (GLM)frameworkssuchasDESeq2(19)andEdgeR(20), of- fer decomposability but rely on parametric assumptions and can scale poorly."
url: "https://sina.bio/claim/conversely-generalized-linear-model-glm-frameworkssuchasdeseq2-19-anded-18ab58c4"
---

# Conversely, generalized linear model (GLM)frameworkssuchasDESeq2(19)andEdgeR(20), of- fer decomposability but rely on pa

Conversely, generalized linear model (GLM)frameworkssuchasDESeq2(19)andEdgeR(20), of- fer decomposability but rely on parametric assumptions and can scale poorly.

## Content

Conversely, generalized linear model (GLM)frameworkssuchasDESeq2(19)andEdgeR(20), of- fer decomposability but rely on parametric assumptions and can scale poorly.

## Metadata

```json
{
  "claim_position": 21,
  "source_publication_id": "version:determining-gene-specificity-from-multivariate-single-cell-rna-sequencing-data--2025-11-24-biorxiv",
  "source_work_id": "work:determining-gene-specificity-from-multivariate-single-cell-rna-sequencing-data"
}
```

## Connections (3)

### Determining gene specificity from multivariate single-cell RNA sequencing data

- ID: `version:determining-gene-specificity-from-multivariate-single-cell-rna-sequencing-data--2025-11-24-biorxiv`
- Kind: `publication`
- Direction: `incoming`
- URL: <https://sina.bio/publication/determining-gene-specificity-from-multivariate-single-cell-rna-sequencing-data>

This publication contains this grounded claim.

> Conversely, generalized linear model (GLM)frameworkssuchasDESeq2(19)andEdgeR(20), of- fer decomposability but rely on parametric assumptions and can scale poorly.

Source: 2025-11-24-biorxiv.pdf — <https://sina.bio/source/2025-11-24-biorxiv-pdf>

### edgeR v4: powerful differential analysis of sequencing data with expanded functionality and improved support for small counts and larger datasets

- ID: `publication:doi:10.1093/nar/gkaf018`
- Kind: `publication`
- Direction: `outgoing`
- URL: <https://sina.bio/publication/edger-v4-powerful-differential-analysis-of-sequencing-data-with-expande-e57d944a>

This publication is cited in support of this claim.

> Conversely, generalized linear model (GLM)frameworkssuchasDESeq2(19)andEdgeR(20), of- fer decomposability but rely on parametric assumptions and can scale poorly.

Source: 2025-11-24-biorxiv.pdf — <https://sina.bio/source/2025-11-24-biorxiv-pdf>

### Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

- ID: `publication:doi:10.1186/s13059-014-0550-8`
- Kind: `publication`
- Direction: `outgoing`
- URL: <https://sina.bio/publication/moderated-estimation-of-fold-change-and-dispersion-for-rna-seq-data-with-deseq2>

This publication is cited in support of this claim.

> Conversely, generalized linear model (GLM)frameworkssuchasDESeq2(19)andEdgeR(20), of- fer decomposability but rely on parametric assumptions and can scale poorly.

Source: 2025-11-24-biorxiv.pdf — <https://sina.bio/source/2025-11-24-biorxiv-pdf>