Description Usage Arguments Details Value Author(s)

Compute weighted similarity score for gene rankings determined via the chosen test statistics.

1 2 3 4 5 6 | ```
scoreOrderComparison(exprs1, labels1, paired1,
exprs2, labels2, paired2,
test.method = test.z, nn, bases, two.sided, empirical)
scoreOrderComparisonBoth(exprs1, labels1, paired1,
exprs2, labels2, paired2,
test.method = test.z, nn, bases, two.sided, empirical)
``` |

`exprs1,exprs2` |
gene expression matrices. |

`labels1,labels2` |
class labels, one label per column in matrices. |

`paired1,paired2` |
logical, whether samples are paired in classes. |

`test.method` |
a function computing one test statistics per row and taking
a matrix, a label vector and a logical for pairing as parameters.
Valid examples are |

`nn` |
a vector of rank limits. The score is computed taking into
account ranks up to these limits only. One limit per entry in |

`bases` |
a vector of bases used in weighted scores, is equal to exp(-alpha). The function can compute scores for several regularization parameters in one go. |

`two.sided` |
if |

`scoreOrderComparison`

computes scores only for the direct
comparison. `scoreOrderComparisonBoth`

in addition computes
scores for reversed orders, i.e., one of the rankings is reversed.

For each entry in `bases`

, thus for each regularization parameter alpha,
one score is returned in an array.

Claudio Lottaz

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.