Description Usage Arguments Details Value Author(s) References Examples

Detects differentially expressed genes between two distinct groups of samples.

1 | ```
deg(treatment, control, alpha = 0.05)
``` |

`treatment` |
Matrix of normalized expression levels in the first group. Rows represent genes, columns represent samples. |

`control` |
Matrix of normalized expression levels in the second group. Rows represent genes, columns represent samples. |

`alpha` |
Global significance level. |

The function controlls the FWER at the specified alpha-level.

A vector with the row numbers of the genes detected as differentially expressed.

Klaus Jung

Jung K., Quast K., Gannoun A. and Urfer W. (2006) A renewed approach to the nonparametric analysis of replicated microarray experiments. Biometrical Journal, 48, 245-254.

1 2 3 4 5 6 7 8 9 10 11 |

```
Wed Jan 1 10:53:41 2020
Calculation of Z
Calculation of z
Calculation of the kernel estimator
Calculation of the kernel estimator
Determination of the rejection region
Wed Jan 1 10:53:41 2020
Wed Jan 1 10:53:41 2020
Calculation of Z
Calculation of z
Calculation of the kernel estimator
Calculation of the kernel estimator
Wed Jan 1 10:53:42 2020
[1] 8 11 108 117 129
[1] 8 11 108 117 129
[1] 8 11 108 117 129
[1] 8 11 26 29 75 88 105 108 117 123 129 139 165
```

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