Integration of single-cell regulon atlas and multi-omics data for prognostic stratification and personalized treatment prediction in human lung adenocarcinoma

Transcriptional programs are often dysregulated in cancers. A comprehensive investigation of potential regulons is critical to the understanding of tumorigeneses. We first constructed the regulatory networks from single-cell RNA sequencing data in human lung adenocarcinoma (LUAD). We next introduce...

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Detalles Bibliográficos
Autores principales: Xiong, Yi, Zhang, Yihao, Liu, Na, Li, Yueshuo, Liu, Hongwei, Yang, Qi, Chen, Yu, Xia, Zhizhi, Chen, Xin, Wanggou, Siyi, Li, Xuejun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369768/
https://www.ncbi.nlm.nih.gov/pubmed/37491302
http://dx.doi.org/10.1186/s12967-023-04331-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369768/
https://www.ncbi.nlm.nih.gov/pubmed/37491302
http://dx.doi.org/10.1186/s12967-023-04331-z

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