Description Usage Arguments Value Author(s) References See Also Examples
View source: R/odseq_unaligned.R
Provided a similarity matrix (like the ones provided using string kernels in kebabs). It will then compute a score for each sequence and perform bootstrap to provide information on the distribution of the scores, which is used to distinguish outlier sequences.
1 | odseq_unaligned(distance_matrix, B = 100, threshold = 0.025, type = "similarity")
|
distance_matrix |
A numeric matrix representing either similarity or distance among unaligned sequences. Package kebabs may be useful for this task. |
B |
Integer indicating the number of bootstrap replicates to be run. The higher the more robust the detection should be. |
threshold |
Float indicating the probability to be left at the right of the bootstrap scores distribution when computing outliers. This parameter may need some tuning depending on each specific problem |
type |
A string indicating the type of distance metric used. Either |
Returns a logical vector, where TRUE
indicates an outlier.
Jos<c3><a9> Jim<c3><a9>nez <jose@jimenezluna.com>
[1] OD-seq: outlier detection in multiple sequence alignments. Peter Jehl, Fabian Sievers and Desmond G. Higgins. BMC Bioinformatics. 2015.
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Loading required package: Biostrings
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
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clusterExport, clusterMap, parApply, parCapply, parLapply,
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