est.c {ChIPtest} | R Documentation |
If there is no INPUT experiment (No control), treat the genes with read counts fewer than 5 as the "null genes". Test statistics were calculated based on the those "null genes" and take the average to obtain the value c, which is used in the null hypothesis H0: TS=c
est.c(data1, data4, max1 = 5, max4 = 5)
data1 |
Data Matrix (after VST) for condition A |
data4 |
Data Matrix (after VST) for condition B |
max1 |
Threshold used to decide null genes for condition A. Default as 5 |
max4 |
Threshold used to decide null genes for condition B. Default as 5 |
Data matrix, the default format is N row by M column. Each row represents for one gene, and each column represents for one bin
tao |
value c in the null hypothesis H0: TS=c |
Qian Wu, Kyoung-Jae Won and Hongzhe Li. (2015) Nonparametric Methods for Identifying Differential Enrichment Regions with ChIP-seq Data. Cancer Informatics
,14 (Suppl 1), 11-22
data(data1)
data(data4)
Data1=NormTransformation(data1)
Data4=NormTransformation(data4)
tao=est.c(Data1, Data4, max1=5, max4=5)