دورية أكاديمية
Kernel-based testing for single-cell differential analysis
| العنوان: | Kernel-based testing for single-cell differential analysis |
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| المؤلفون: | A. Ozier-Lafontaine, C. Fourneaux, G. Durif, P. Arsenteva, C. Vallot, O. Gandrillon, S. Gonin-Giraud, B. Michel, F. Picard |
| المصدر: | Genome Biology, Vol 25, Iss 1, Pp 1-21 (2024) |
| بيانات النشر: | BMC, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Biology (General) LCC:Genetics |
| مصطلحات موضوعية: | Single cell transcriptomics, Single cell epigenomics, Differential analysis, Kernel methods, Biology (General), QH301-705.5, Genetics, QH426-470 |
| الوصف: | Abstract Single-cell technologies offer insights into molecular feature distributions, but comparing them poses challenges. We propose a kernel-testing framework for non-linear cell-wise distribution comparison, analyzing gene expression and epigenomic modifications. Our method allows feature-wise and global transcriptome/epigenome comparisons, revealing cell population heterogeneities. Using a classifier based on embedding variability, we identify transitions in cell states, overcoming limitations of traditional single-cell analysis. Applied to single-cell ChIP-Seq data, our approach identifies untreated breast cancer cells with an epigenomic profile resembling persister cells. This demonstrates the effectiveness of kernel testing in uncovering subtle population variations that might be missed by other methods. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1474-760X |
| Relation: | https://doaj.org/toc/1474-760X |
| DOI: | 10.1186/s13059-024-03255-1 |
| URL الوصول: | https://doaj.org/article/5e207c347a0b4085b0e247f809decc4d |
| رقم الأكسشن: | edsdoj.5e207c347a0b4085b0e247f809decc4d |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 1474760X |
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| DOI: | 10.1186/s13059-024-03255-1 |