odseq - Outlier detection in multiple sequence alignments
Performs outlier detection of sequences in a multiple sequence alignment using bootstrap of predefined distance metrics. Outlier sequences can make downstream analyses unreliable or make the alignments less accurate while they are being constructed. This package implements the OD-seq algorithm proposed by Jehl et al (doi 10.1186/s12859-015-0702-1) for aligned sequences and a variant using string kernels for unaligned sequences.
Last updated 5 months ago
alignmentmultiplesequencealignment
4.18 score 1 dependents 25 scripts 266 downloadsabodOutlier - Angle-Based Outlier Detection
Performs angle-based outlier detection on a given dataframe. Three methods are available, a full but slow implementation using all the data that has cubic complexity, a fully randomized one which is way more efficient and another using k-nearest neighbours. These algorithms are specially well suited for high dimensional data outlier detection.
Last updated 10 years ago
3.56 score 6 stars 12 scripts 311 downloads