Description Usage Arguments Value Author(s) See Also Examples

This function calculates the degree to which a subset of genes (i.e.
a "signature") is biased in the ordered list of all genes. The
function is typically used internally by `dksClassify`

,
but the user may want to call it directly to inspect the running
sums.

1 |

`data` |
A vector of gene expression data. The data need not be sorted, as the function will sort it itself. |

`geneset` |
A |

`decreasing` |
Indicates which way |

`method` |
Two methods are supported. The 'kort' method returns the maximum of the running sum. The 'yang' method returns the sum of the maximum and the minimum of the running sum, thereby penalizing classes that are highly enriched in a subset of genes of a given signature, but highly down regulated in another subset of that same signature. |

`runningSums ` |
A matrix with 1 row per gene and 1 column per signature. The value is the running sum of the KS metric at each point along the sorted list of genes. The maximum of this column vector corresponds to the KS score for the corresponding signature. |

`ksScores` |
A named vector giving the KS score for each signature. |

Eric J. Kort, Yarong Yang

`dksTrain`

, `dksSelectGenes`

,
`dksClassify`

, `DKSGeneScores`

, `DKSPredicted`

,
`DKSClassifier`

1 2 3 4 5 |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.