LnCeCell -CellCluster
Investigate cell distribution of different clusters, cell types, states, primary/metastatic sites, etc.
Search Panel
Dataset:
Type:
Coordinates: Point Size:
Cell type: Resolution: Axis:
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Dataset: Please select any dataset in LnCeCell 2.0
to explore (including cancer and normal datasets), click
the icon on the right to view the complete table of all
dataset names.
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Type: LnCeCell 2.0 can display all datasets
according to multiple classification methods, and each
cell has been accurately annotated. In particular, when
type='Cell type', a certain cell type in the dataset can
be selected for clustering.
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Coordinates: LnCeCell 2.0 provides two
dimensionality reduction clustering methods for cells in
the datasets, namely uniform manifold approximation and
projection (UMAP) and t-distributed Stochastic Neighbor
Embedding (tSNE).
Point Size: The point size in the graph can be set
to 5 parameters.(Tiny = 1, Small = 2, Medium = 3, Large =
4, Oversized=5)
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Cell Type: Set cell types in the dataset, the
default is 'All cell'.
Resolution: Set resolution parameters in the
dataset, the default is 'Resolution = 0.5'.
Axis:
Set whether to display the axis, the default is 'show'.