---
id: "claim:voyager-exploratory-single-cell-genomics-data-analysis-with-geospatial-statisti-69c00e33c5:41cbbb9a8a3bd8697bff"
kind: "claim"
title: "Existing methods of spatially informed dimension reduction53–55 and methods to find spatially variable genes56–59 tend t"
description: "Existing methods of spatially informed dimension reduction53–55 and methods to find spatially variable genes56–59 tend to only consider positive spatial autocorrelation."
url: "https://sina.bio/claim/existing-methods-of-spatially-informed-dimension-reduction5355-and-meth-194f5ff1"
---

# Existing methods of spatially informed dimension reduction53–55 and methods to find spatially variable genes56–59 tend t

Existing methods of spatially informed dimension reduction53–55 and methods to find spatially variable genes56–59 tend to only consider positive spatial autocorrelation.

## Content

Existing methods of spatially informed dimension reduction53–55 and methods to find spatially variable genes56–59 tend to only consider positive spatial autocorrelation.

## Metadata

```json
{
  "claim_position": 129,
  "source_publication_id": "version:voyager-exploratory-single-cell-genomics-data-analysis-with-geospatial-statistics--2023-07-22-biorxiv",
  "source_work_id": "work:voyager-exploratory-single-cell-genomics-data-analysis-with-geospatial-statistics"
}
```

## Connections (2)

### Voyager: exploratory single-cell genomics data analysis with geospatial statistics

- ID: `version:voyager-exploratory-single-cell-genomics-data-analysis-with-geospatial-statistics--2023-07-22-biorxiv`
- Kind: `publication`
- Direction: `incoming`
- URL: <https://sina.bio/publication/voyager-exploratory-single-cell-genomics-data-analysis-with-geospatial-7b90c7a5>

This publication contains this grounded claim.

> Existing methods of spatially informed dimension reduction53–55 and methods to find spatially variable genes56–59 tend to only consider positive spatial autocorrelation.

Source: 2023-07-22-biorxiv.pdf — <https://sina.bio/source/2023-07-22-biorxiv-pdf>

### MULTISPATI PCA brought liver zonation into its first two components and identified a negative-autocorrelation component

- ID: `result:voyager-exploratory-single-cell-genomics-data-analysis-with-geospatial-statisti-69c00e33c5:9bc1d8d49263dd7d2bcd`
- Kind: `result`
- Direction: `incoming`
- URL: <https://sina.bio/result/multispati-pca-brought-liver-zonation-into-its-first-two-components-and-04f88b15>

This claim supports this result.