Description Usage Arguments Details Value See Also Examples
Selects significant genes according to their ZScore (summarized with the gene median) and p-values.
| 1 2 | hitselectionZscorePval(dataset, pValVec, col4zscore, col4sel, thresh, thresh2, 
flag2, col4anno, sumFunc, file4hits)
 | 
| dataset |  an R data frame generated with  | 
| pValVec |  a vector of p-values, as generated by one of the test functions  | 
| col4zscore |  a character vector specifying the name of the column containing the ZScores, usually  | 
| col4sel | a character vector specifying the name of the new dataset column where hits will be stored | 
| thresh |  the threshold for the ZScores. The interpretation depends on the choice of the parameter  | 
| thresh2 | the threshold for the p-values | 
| flag2 |  2 or -2. If 2 is chosen, all Zscores greater than or equal to  | 
| col4anno |  a character string specifying the name of the dataset column to be used to define the replicate, for example  | 
| sumFunc |  the function used to summarize ZScore values, e.g.  | 
| file4hits | the name of the file to store the results in | 
If there are no p-values under the defined threshold  thresh2, it is increased to  min(pvalvec). 
If  flag2 == -2 and there are no ZScores under the defined threshold  thresh, it is increased to  min(ZScores). 
If  flag2 == 2 and there are no ZScores over the defined threshold  thresh, it is increased to  max(ZScores).
If there are not hits for the combined threshold of p-values and ZScores, the ZScore threshold is changed until there is a hit.
A list containing:
| dataset  | the dataset with an added column defining the hits in the form of a binary vector | 
| hitVector  | the binary vector itself | 
| thresh  | the threshold for the ZScores | 
| thresh2  | he threshold for the p-values | 
ZScores and p-values are stored in a text output file.
hitselectionPval, hitselectionZscore, Ttest 
| 1 2 3 4 5 6 7 8 9 10 | data(scoredDataset1, package="RNAither")
data(pValVec1, package="RNAither")
##for details on the generation of pValVec1 and scoredDataset1, see the example of the Ttest function linked above.
scoredHits1 <- hitselectionZscorePval(scoredDataset1, pValVec1, "SigIntensity", 
"Zscore_pval_hits", -1.5, 0.05, -2, "GeneName", median, "Zscores_pvals_testfile1.txt")
newdataset <- scoredHits1[[1]]
hitvector <- scoredHits1[[2]]
 | 
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