التفاصيل البيبلوغرافية
| العنوان: |
Accurate and Flexible Single Cell to Spatial Transcriptome Mapping with Celloc |
| المؤلفون: |
Wang Yin, Xiaobin Wu, Linxi Chen, You Wan, Yuan Zhou |
| المصدر: |
Small Science, Vol 4, Iss 10, Pp n/a-n/a (2024) |
| بيانات النشر: |
Wiley-VCH, 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Materials of engineering and construction. Mechanics of materials |
| مصطلحات موضوعية: |
graph attention autoencoders, single‐cell mapping, spatial transcriptomics, Materials of engineering and construction. Mechanics of materials, TA401-492 |
| الوصف: |
Accurate mapping between single‐cell RNA sequencing (scRNA‐seq) and low‐resolution spatial transcriptomics (ST) data compensates for both limited resolution of ST data and missing spatial information of scRNA‐seq. Celloc, a method developed for this purpose, incorporates a graph attention autoencoder and comprehensive loss functions to facilitate flexible single cell‐to‐spot mapping. This enables either the dissection of cell composition within each spot or the assignment of spatial locations for every cell in scRNA‐seq data. Celloc's performance is benchmarked on simulated ST data, demonstrating superior accuracy and robustness compared to state‐of‐the‐art methods. Evaluations on real datasets suggest that Celloc can reconstruct cellular spatial structures with various cell types across different tissues and histological regions. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2688-4046 |
| Relation: |
https://doaj.org/toc/2688-4046 |
| DOI: |
10.1002/smsc.202400139 |
| URL الوصول: |
https://doaj.org/article/1891b38b5cc24d1292bc583f53a7217b |
| رقم الانضمام: |
edsdoj.1891b38b5cc24d1292bc583f53a7217b |
| قاعدة البيانات: |
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