NRTPredictor: identifying rice root cell state in single-cell RNA-seq via ensemble learning

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) measurements of gene expression show great promise for studying the cellular heterogeneity of rice roots. How precisely annotating cell identity is a major unresolved problem in plant scRNA-seq analysis due to the inherent high dimensionality and sp...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Hao, Lin, Yu-Nan, Yan, Shen, Hong, Jing-Peng, Tan, Jia-Rui, Chen, Yan-Qing, Cao, Yong-Sheng, Fang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625708/
https://www.ncbi.nlm.nih.gov/pubmed/37925413
http://dx.doi.org/10.1186/s13007-023-01092-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625708/
https://www.ncbi.nlm.nih.gov/pubmed/37925413
http://dx.doi.org/10.1186/s13007-023-01092-0

Ejemplares similares