Details for: TRAV31
Cells (max top 100)
(Marker Scores and respective Thresholds are uniquely calculated using our advanced thresholding algorithms to reveal cell-specific gene markers)
- Cell Name: CD8-positive, alpha-beta T cell (CL0000625)
Fold Change: 0
Marker Score: 5 - Cell Name: thymocyte (CL0000893)
Fold Change: 0
Marker Score: 1 - Cell Name: stromal cell (CL0000499)
Fold Change: 0
Marker Score: 1 - Cell Name: double-positive, alpha-beta thymocyte (CL0000809)
Fold Change: 0
Marker Score: 2 - Cell Name: double negative thymocyte (CL0002489)
Fold Change: 0
Marker Score: 1 - Cell Name: ciliated cell (CL0000064)
Fold Change: 0
Marker Score: 1 - Cell Name: neuron (CL0000540)
Fold Change: 0
Marker Score: 1
Fold Change: Represents the ratio of the current Marker Score to the Marker Score Threshold, indicating how much the gene expression has changed compared to a baseline.
Marker Score: Reflects how strongly a gene is expressed in this cell type. Calculated using techniques like effect size estimation and bootstrapping for reliability.
Fold Change: Represents the ratio of the current Marker Score to the Marker Score Threshold, indicating how much the gene expression has changed compared to a baseline.
Marker Score: Reflects how strongly a gene is expressed in this cell type. Calculated using techniques like effect size estimation and bootstrapping for reliability.
Fold Change: Represents the ratio of the current Marker Score to the Marker Score Threshold, indicating how much the gene expression has changed compared to a baseline.
Marker Score: Reflects how strongly a gene is expressed in this cell type. Calculated using techniques like effect size estimation and bootstrapping for reliability.
Other Information
Disclaimer: This summary is generated by an AI language model and may contain inaccuracies or hallucinations. However, it is cross-referenced with curated gene expression data from major biological sources. Please verify the information before use.
Database document:
This is a preview of the gene's schema. Only a few entries are kept for 'singleCellExpressions,' 'mRNAExpressions,' and other large data arrays for visualization purposes. You can zoom in with the mouse wheel for a closer view, and the text will adjust automatically if necessary. For the full schema, download it here.