Details for: IGHV3 79
Cells (max top 100)
(Cell Significance Index and respective Thresholds are uniquely calculated using our advanced thresholding algorithms to reveal cell-specific gene markers)
- Cell Name: neoplastic cell (CL0001063)
Fold Change: 0.0021
Cell Significance Index: 0.4200 - Cell Name: B cell (CL0000236)
Fold Change: -0.0035
Cell Significance Index: -0.0400 - Cell Name: kidney loop of Henle thin ascending limb epithelial cell (CL1001107)
Fold Change: -0.0127
Cell Significance Index: -0.1300 - Cell Name: kidney loop of Henle thick ascending limb epithelial cell (CL1001106)
Fold Change: -0.0156
Cell Significance Index: -0.1400 - Cell Name: hepatocyte (CL0000182)
Fold Change: -0.0219
Cell Significance Index: -0.3000 - Cell Name: kidney loop of Henle thin descending limb epithelial cell (CL1001111)
Fold Change: -0.0269
Cell Significance Index: -0.2900 - Cell Name: kidney connecting tubule epithelial cell (CL1000768)
Fold Change: -0.0283
Cell Significance Index: -0.3100 - Cell Name: kidney collecting duct principal cell (CL1001431)
Fold Change: -0.0300
Cell Significance Index: -0.2700
Fold Change: Represents the ratio of the current Cell Significance Index to the Cell Significance Index Threshold, indicating how much the gene expression has changed compared to a baseline.
Cell Significance Index: Reflects how strongly a gene is expressed in this specific cell.
Fold Change: Represents the ratio of the current Cell Significance Index to the Cell Significance Index Threshold, indicating how much the gene expression has changed compared to a baseline.
Cell Significance Index: 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 Cell Significance Index to the Cell Significance Index Threshold, indicating how much the gene expression has changed compared to a baseline.
Cell Significance Index: 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.