Cargando…
Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression Patterns
We presented a novel workflow for detecting distribution patterns in cell populations based on single-cell transcriptome study. With the fast adoption of single-cell analysis, a challenge to researchers is how to effectively extract gene features to meaningfully separate the cell population. Conside...
Autores principales: | Han, Zhi, Johnson, Travis, Zhang, Jie, Zhang, Xuan, Huang, Kun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5536134/ https://www.ncbi.nlm.nih.gov/pubmed/28798928 http://dx.doi.org/10.1155/2017/3035481 |
Ejemplares similares
-
Corrigendum to “Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression Patterns”
por: Han, Zhi, et al.
Publicado: (2017) -
Analytics and visualization tools to characterize single-cell stochasticity using bacterial single-cell movie cytometry data
por: Balomenos, Athanasios D., et al.
Publicado: (2021) -
Flow: Statistics, visualization and informatics for flow cytometry
por: Frelinger, Jacob, et al.
Publicado: (2008) -
Virtual-freezing fluorescence imaging flow cytometry
por: Mikami, Hideharu, et al.
Publicado: (2020) -
GenePattern flow cytometry suite
por: Spidlen, Josef, et al.
Publicado: (2013)