mNSF: multi-sample non-negative spatial factorization
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| 出版年: | Genome Biology vol. 26 (2025), p. 1 |
|---|---|
| 第一著者: | |
| その他の著者: | , , , , |
| 出版事項: |
Springer Nature B.V.
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| 主題: | |
| オンライン･アクセス: | Citation/Abstract Full Text Full Text - PDF |
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MARC
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| 045 | 2 | |b d20250101 |b d20251231 | |
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| 100 | 1 | |a Wang, Yi | |
| 245 | 1 | |a mNSF: multi-sample non-negative spatial factorization | |
| 260 | |b Springer Nature B.V. |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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-specific spatial correlation modeling and extracts low-dimensional data representations. Through simulations and real data analysis, we demonstrate mNSF’s efficacy in identifying true factors, shared anatomical regions, and region-specific biological functions. mNSF’s performance is comparable to alignment-based methods when alignment is feasible, while enabling analysis in scenarios where spatial alignment is unfeasible. mNSF shows promise as a robust method for analyzing spatially resolved transcriptomics data across multiple samples. | |
| 653 | |a Data processing | ||
| 653 | |a Software | ||
| 653 | |a Gene expression | ||
| 653 | |a Transcriptomics | ||
| 653 | |a Genomics | ||
| 653 | |a Spatial data | ||
| 653 | |a Discriminant analysis | ||
| 653 | |a Data analysis | ||
| 700 | 1 | |a Woyshner, Kyla | |
| 700 | 1 | |a Sriworarat, Chaichontat | |
| 700 | 1 | |a Genevieve Stein-O’Brien | |
| 700 | 1 | |a Goff, Loyal A | |
| 700 | 1 | |a Hansen, Kasper D | |
| 773 | 0 | |t Genome Biology |g vol. 26 (2025), p. 1 | |
| 786 | 0 | |d ProQuest |t Health & Medical Collection | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3216564354/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
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| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3216564354/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |