Search Page consists of four modules: Dataset Characteristics, Gene, Cell, and Function, designed based on single-cell RNA processing and RNA velocity knowledge.We provide two search methods: disease name, tissue&organ. After finding the target dataset, click the "Explore" button
to view the results.
Search RNAPace
Please select at least one research keyword (e.g., Stomach Adenocarcinoma (STAD), Stomach, SKCM).
e.g. MALAT1
| Dataset | Species | Disease | DOID | Explore |
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(1) The Velocity Stream Plots section displays velocity stream distributions across cells, annotated with cell clusters and cell types;
(2) The Cell Type section incorporates cell clusters and annotations, along with statistical summaries
of cell counts and proportions for each cluster or cell type to support the quantitative assessment of cellular composition.
AML_GSE147989
(1) The Velo in Cell section displays the RNA velocity profile of genes inferred by the six computational models for each cell, accompanied by gene expression data for comparison.
(2) The Phase Portraits section illustrates the relationship between unspliced (nascent) and spliced (mature) mRNA level of the selected gene.
(3) The Velo Top Gene list presents the top 100 ranked genes for each cluster, derived from differential velocity t-tests.
(4) The Velo Across Cluster displays the RNA velocity of a selected gene across different cell types or clusters.
(5) The Velo Correlation section presents the RNA velocity correlation between a selected gene and other important genes.
(6) The Velo & GE Comparison exhibits the correlation between RNA velocity and gene expression for a selected gene.
Gene
RNA Velocity
(1) The Velo Pseudotime sub-module reconstructs cellular progression paths based on velocity constraints, reflecting the inferred order of cell state transitions.
(2) The Velo Pace sub-module provides the differentiation speed or rate of individual cells, comprising two sections: Velo Length and Velo Confidence.
The Velo Length section reflects the speed at which cells differentiate, where lower values indicate a slower differentiation pace and higher values indicate a faster pace.
The Velo Confidence section indicates whether the direction is determined or undetermined, with higher values corresponding to greater confidence.
(3)The Velo Latent Time sub-module, computed via scVelo’s Dynamical module, recovers the latent time
of underlying cellular processes, where a lower value indicates earlier differentiation.
Cell
The Function module performs KEGG pathway and GO term enrichment analyses using top-ranked genes with differential RNA velocity, linking dynamic transcriptional patterns to biological processes, molecular functions, and cellular components to facilitate mechanistic interpretation.
Function
GO
KEGG