Systematic expression analysis of ligand-receptor pairs reveals important cell-to-cell interactions inside glioma.

Yuan, Dongsheng; Tao, Yiran; Chen, Geng; Shi, Tieliu

Yuan, Dongsheng; Tao, Yiran; Chen, Geng; Shi, Tieliu.

Yuan D; Center for Bioinformatics and Computational Biology, and Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Tao Y; Center for Bioinformatics and Computational Biology, and Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Chen G; Center for Bioinformatics and Computational Biology, and Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China. gchen@bio.ecnu.edu.cn.
Shi T; Center for Bioinformatics and Computational Biology, and Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China. tieliushi@yahoo.com.

Cell Commun Signal ; 17(1): 48, 2019 05 22.

Article en En | MEDLINE | ID: mdl-31118022

Asunto(s)

Comunicación Autocrina; Neoplasias Encefálicas/metabolismo; Glioma/metabolismo; Transcriptoma; Neoplasias Encefálicas/genética; Neoplasias Encefálicas/patología; Glioma/genética; Glioma/patología; Humanos; Aprendizaje Automático; Células Madre Neoplásicas/metabolismo

Palabras clave

Cell-to-cell interactions; Glioma; Machine learning; Single-cell RNA-seq

Texto completo

Imprimir

XML

PubMed Links

Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Comunicación Autocrina / Transcriptoma / Glioma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Search on Google