Zscore {genArise} | R Documentation |

## Z-scores for identifying differential expression

### Description

This function identify differential expressed genes by calculating an
intensity-dependent Z-score. This function use a sliding window to
calculate the mean and standard deviation within a window surrounding
each data point, and define a Z-score where Z measures the number of
standard deviations a data point is from the mean.

### Usage

Zscore(spot.object,type,window.size)

### Arguments

`spot.object` |
A spot object |

`type` |
Type of analysis: "ri" is for a R-I analysis and "ma" is
for M-A analysis |

`window.size` |
Size of the sliding window |

### Value

A dataSet object with attributes Cy3, Cy5, Id, Z-score.

### Examples

data(Simon)
# Background Correction
c.spot <- bg.correct(Simon)
#Normalized data
n.spot <- grid.norm(c.spot,23,24)
#Filter spot
f.spot <- filter.spot(n.spot)
#Replicate filtering
u.spot <- spotUnique(f.spot)
#Zscore analysis
s.spot <- Zscore(u.spot)

[Package

*genArise* version 1.0.0

Index]