pof {OmicsMarkeR} | R Documentation |
Calculates percent of overlapping features between two vectors of features. In brief, the closer to 1 the more similar the vectors. The two vectors may have an arbitrary cardinality (i.e. don't need same length).
pof(x, y)
x |
Character vector of feature names |
y |
Character vector of feature names |
Returns the percent of overlapping features for the two vectors. It takes values in [0,1], with 0 meaning no overlap between two sets and 1 meaning two sets are identical.
Charles E. Determan Jr.
Shi L., et al. (2005) Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential. BMC Bioinformatics. 6 (Suppl. 2) S12. He. Z. & Weichuan Y. (2010) Stable feature selection for biomarker discovery. Computational Biology and Chemistry 34 215-225.
kuncheva
, sorensen
,
ochiai
, pof
, pairwise.stability
,
pairwise.model.stability
# Percent-Overlapping Features demo v1 <- paste("Metabolite", seq(10), sep="_") v2 <- sample(v1, 10) pof(v1, v2)