Description Usage Arguments Value Note Examples

View source: R/functions_evaluation.R

This function allows users to visualize the distributions of (assumed) signal and background, conditional on expression levels. The predicted signals are defined by the 0.1% highest correlations in each bin.

1 | ```
plot_signal_condition_exp(cor_mat, ave_exp, signal)
``` |

`cor_mat` |
Matrix, correlation matrix, generated by gene expression matrix |

`ave_exp` |
Vector, average expression level of each gene for the normalized expression matrix |

`signal` |
a value between 0 and 1 giving the fraction of
correlations which should be considered signal. We often use a value
of |

Invoked for the side effect of producing a plot.

The mnemonic for `condition_exp`

is â€˜conditional on
expressionâ€™.

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.