Cargando…
scdNet: a computational tool for single-cell differential network analysis
BACKGROUND: Single-cell RNA sequencing (scRNA-Seq) is an emerging technology that has revolutionized the research of the tumor heterogeneity. However, the highly sparse data matrices generated by the technology have posed an obstacle to the analysis of differential gene regulatory networks. RESULTS:...
Autores principales: | Chiu, Yu-Chiao, Hsiao, Tzu-Hung, Wang, Li-Ju, Chen, Yidong, Shao, Yu-Hsuan Joni |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302455/ https://www.ncbi.nlm.nih.gov/pubmed/30577836 http://dx.doi.org/10.1186/s12918-018-0652-0 |
Ejemplares similares
-
Multi-omics analysis reveals the BRCA1 mutation and mismatch repair gene signatures associated with survival, protein expression, and copy number alterations in prostate cancer
por: Hsiao, Tzu-Hung, et al.
Publicado: (2019) -
Differential correlation analysis of glioblastoma reveals immune ceRNA interactions predictive of patient survival
por: Chiu, Yu-Chiao, et al.
Publicado: (2017) -
SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images
por: Naeem, Ahmad, et al.
Publicado: (2022) -
Faster SCDNet: Real-Time Semantic Segmentation Network with Split Connection and Flexible Dilated Convolution †
por: Tian, Shu, et al.
Publicado: (2023) -
Genome-wide identification of key modulators of gene-gene interaction networks in breast cancer
por: Chiu, Yu-Chiao, et al.
Publicado: (2017)