mNSF: multi-sample non-negative spatial factorization

mNSF: multi-sample non-negative spatial factorization

Abstract Analyzing multi-sample spatial transcriptomics data requires accounting for biological variation. We present multi-sample non-negative spatial factorization (mNSF), an alignment-free framework extending single-sample spatial factorization to multi-sample datasets. mNSF incorporates sample-s...

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Bibliographic Details
Main Authors: Yi Wang, Kyla Woyshner, Chaichontat Sriworarat, Genevieve Stein-O’Brien, Loyal A. Goff, Kasper D. Hansen
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Genome Biology
Subjects:
Spatial transcriptomics
Matrix factorization
Multi-sample analysis
Dimensionality reduction
Spatial gene expression
Online Access:https://doi.org/10.1186/s13059-025-03601-x
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https://doi.org/10.1186/s13059-025-03601-x

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