sim.score.all: Similarity Score
In adriaalcala/AligNet: Tool to Analyze PPI Networks and Align Networks using AligNet Algorithm algorithm
Description
Usage
Arguments
Value
Description
Compute the similarity score of the list of local alignments. Given an
alignment g:V_1\rightarrow V_2, and a similarity matrix sim, the
similarity score of the alignment g is defined as:
\frac{1}{|V_1|} ∑_{v \in V_1} sim[v,g(v)]
Usage
1
sim.score.all(localAligns, sim)
Arguments
localAligns
a list of local alignments
sim
a similarity matrix
Value
simScore a table with 3 columns, the first and second ones
represents the local alignment and the third the score of alignment
adriaalcala/AligNet documentation built on May 10, 2019, 5:59 a.m.
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Description Usage Arguments Value
Description
Compute the similarity score of the list of local alignments. Given an alignment g:V_1\rightarrow V_2, and a similarity matrix sim, the similarity score of the alignment g is defined as:
\frac{1}{|V_1|} ∑_{v \in V_1} sim[v,g(v)]
Usage
1 | sim.score.all(localAligns, sim)
|
Arguments
localAligns |
a list of local alignments |
sim |
a similarity matrix |
Value
simScore a table with 3 columns, the first and second ones represents the local alignment and the third the score of alignment
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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