Cell type identification from single-cell transcriptomes in melanoma
Abstract Background Single-cell sequencing approaches allow gene expression to be measured at the single-cell level, providing opportunities and challenges to study the aetiology of complex diseases, including cancer. Methods Based on single-cell gene and lncRNA expression levels, we proposed a comp...
Guardado en:
Autores principales: | Qiuyan Huo, Yu Yin, Fangfang Liu, Yuying Ma, Liming Wang, Guimin Qin |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
BMC
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/376d7da8df7b4c7ba77f56a0d0d526ba |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Transcriptome sequencing identified the ceRNA network associated with recurrent spontaneous abortion
por: Yong Huang, et al.
Publicado: (2021) -
Gene biomarker prediction in glioma by integrating scRNA-seq data and gene regulatory network
por: Guimin Qin, et al.
Publicado: (2021) -
LncRNA‐H19 gene plays a significant role in regulating glioma cell function
por: Ping Liu, et al.
Publicado: (2021) -
A Competitive Endogenous RNA Network Based on Differentially Expressed lncRNA in Lipopolysaccharide‐Induced Acute Lung Injury in Mice
por: Xianxian Jia, et al.
Publicado: (2021) -
High-Throughput Sequencing Profiles About lncRNAs and mRNAs of Ovarian Granulosa Cells in Polycystic Ovary Syndrome
por: Yanjun Zheng, et al.
Publicado: (2021)