adjusted_cosine_similarity: compute the similarity of queryProfiles and subjectProfiles

In geneprophet/BSDMR: a region-based method for quantitating the conservation and divergence of methylation patterns between species by high order features

Description

compute the similarity of queryProfiles and subjectProfiles by adjusted cosine distance and return a vector of numeric match the queryProfiles and subjectProfiles.

Usage

adjusted_cosine_similarity(
  queryProfiles,
  subjectProfiles,
  is_parallel = TRUE,
  no_cores = NULL
)

Arguments

queryProfiles	a result of infer_profiles_vb
subjectProfiles	a result of infer_profiles_vb
is_parallel	Logical, indicating if code should be run in parallel.
no_cores	Number of cores given as input

Value

a vector of Normalized adjusted cosine similarity [0-1], Note: the more close to 1 indicates the profiles of region more similar, the more close to 0 indicates the profiles more different.

Author(s)

Hongen Kang [e-mail]

Examples

## Not run: 
similarity <- adjusted_cosine_similarity(queryProfiles=human_fit_profiles, 
                                         subjectProfiles=mouse_fit_profiles)
                                         
#check the number of non-NA
length(which(!is.na(similarity)))

#check the number of >0.9
length(which(similarity>0.9))

#check the number of <0.1
length(which(similarity<0.1))

## End(Not run)

geneprophet/BSDMR documentation built on March 3, 2021, 5:50 a.m.