pairwiseLCS: Calculate a matrix of Longest Common Subsequence (LCS)...
In runibic: runibic: row-based biclustering algorithm for analysis of gene expression data in R
Description
Usage
Arguments
Value
See Also
Examples
Description
This function calculates the matrix with Longest Common Subsequence (LCS)
between two numeric vectors. From given matrix we can locate the size
of the Longest Common Subsequence in the last column in the last row.
Usage
1
pairwiseLCS(x, y)
Arguments
x
an integer vector
y
an integer vector
Value
a matrix computed using dynamic programming
that stores the Longest Common Subsequence (LCS) between two vectors A and B.
See Also
runibic calculateLCS backtrackLCS
Examples
1
2
3
A <- c(1, 2, 3, 4, 5)
B <- c(1, 2, 4)
pairwiseLCS(A, B)
runibic documentation built on Nov. 8, 2020, 5:38 p.m.
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Description Usage Arguments Value See Also Examples
Description
This function calculates the matrix with Longest Common Subsequence (LCS) between two numeric vectors. From given matrix we can locate the size of the Longest Common Subsequence in the last column in the last row.
Usage
1 | pairwiseLCS(x, y)
|
Arguments
x |
an integer vector |
y |
an integer vector |
Value
a matrix computed using dynamic programming that stores the Longest Common Subsequence (LCS) between two vectors A and B.
See Also
runibic calculateLCS backtrackLCS
Examples
1 2 3 | A <- c(1, 2, 3, 4, 5)
B <- c(1, 2, 4)
pairwiseLCS(A, B)
|
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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