Cell information / gene expression violin plot / box plot
In this tab, users can visualise the gene expression or continuous cell information
(e.g. Number of UMIs / module score) across groups of cells (e.g. libary / clusters).
Proportion / cell numbers across different cell information
In this tab, users can visualise the composition of single cells based on one discrete
cell information across another discrete cell information.
Usage examples include the library or cellcycle composition across clusters.
In this tab, users can visualise the gene expression patterns of
multiple genes grouped by categorical cell information (e.g. library / cluster).
The normalised expression are averaged, log-transformed and then plotted.
Cell information / gene expression violin plot / box plot
In this tab, users can visualise the gene expression or continuous cell information
(e.g. Number of UMIs / module score) across groups of cells (e.g. libary / clusters).
Proportion / cell numbers across different cell information
In this tab, users can visualise the composition of single cells based on one discrete
cell information across another discrete cell information.
Usage examples include the library or cellcycle composition across clusters.
In this tab, users can visualise the gene expression patterns of
multiple genes grouped by categorical cell information (e.g. library / cluster).
The normalised expression are averaged, log-transformed and then plotted.
Cell information / gene expression violin plot / box plot
In this tab, users can visualise the gene expression or continuous cell information
(e.g. Number of UMIs / module score) across groups of cells (e.g. libary / clusters).
Proportion / cell numbers across different cell information
In this tab, users can visualise the composition of single cells based on one discrete
cell information across another discrete cell information.
Usage examples include the library or cellcycle composition across clusters.
In this tab, users can visualise the gene expression patterns of
multiple genes grouped by categorical cell information (e.g. library / cluster).
The normalised expression are averaged, log-transformed and then plotted.
Reference:
Mirza Muhammad Fahd Qadir, Ruth M. Elgamal, Keijing Song, Parul Kudtarkar, Siva S.V.P Sakamuri, Prasad V. Katakam, Samir El-Dahr, Jay Kolls , Kyle J. Gaulton , Franck Mauvais-Jarvis.
Single cell regulatory architecture of human pancreatic islets suggests sex differences in β cell function and the pathogenesis of type 2 diabetes
doi: 10.1101/2024.04.11.589096