getFDgene {PCpheno} | R Documentation

## Get fitness defect genes

### Description

Function to select genes that present a significant growth defect according to the condition(media) or generation time.

### Usage

    getFDgene(data,condition,cutoff,mode="generation",subset)

### Arguments

`data` | List of fitness defect scores for genes tested at different experimental conditions.
`condition` | Dataframe of experimental conditions
`cutoff` | Numerical vector of length one or more, defining the threshold of 'significance' for the fitness defect score
`mode` | Character string defining the base of the selection either 'condition' (media) or 'generation' time, Default=generation.
`subset` | Numerical vector or list to which apply the different cutoffs.

### Value

Reduced list of gene fitness scores per experimental condition according to the experimental condition or the generation time.

### Author(s)

N. LeMeur

### References

Giaever G. et al. (2002) Functional profiling of the Saccharomyces cerevisiae genome. Nature. 418(6896):387-91. PMID: 12140549

### Examples

     data(GiaeverPheno)
     data(GiaeverExpCdt)
     ##Select all the genes, in the different experimental conditions, that present a fitness score above 20, 100 and 100 at 5, 15 and 20 generations, respectively
     fitnessGen <- getFDgene(GiaeverPheno,condition=GiaeverExpCdt,cutoff=c(20,100,100),mode="generation",subset=c(5,15,20))
     ##Select all the genes, that present a fitness score above 15 and 100
     ##in the condition set A and B respectively, independently of the generation time
    fitnessCondt <- getFDgene(GiaeverPheno,condition=GiaeverExpCdt,cutoff=c(100,15),mode="condition",subset=list(a=c(1:23,27,30,31),b=c(24:26,28,29)))

[Package PCpheno version 1.49.0 Index]