The alignment-free supervised classification method DectICO can accurately classify metagenomic samples without dependence on known microbial genomes. Selecting the ICO dynamically offers better stability and generality compared with sequence-composition-based classification algorithms.
Oct 7, 2015
Oct 7, 2015 · The alignment-free supervised classification method DectICO can accurately classify metagenomic samples without dependence on known ...
Continual progress in next-generation sequencing allows for generating increasingly large metagenomes which are over time or space.
DectICO is an alignment-free supervised metagenomic sample classification algorithm. It selects the ICO dynamically and classifies the metagenomic samples based ...
Validation results show that DectICO is powerful, performs well based on long oligonucleotides (i.e., 6-mer to 8-mer), and is more stable and generalized than a ...
1. DOI - Is supplement to DectICO: an alignment-free supervised metagenomic classification method based on feature extraction and dynamic selection ...
DectICO: an alignment-free supervised metagenomic classification method based on feature extraction and dynamic selection · Assessment of k-mer spectrum ...
DectICO (Ding et al., 2015) is a feature extraction, and dynamic selection-based supervised metagenomic classification method that can correctly classify ...
DectICO DectICO Public. An alignment-free supervised metagenomic classification method based on feature extraction and dynamic selection · HSS-bin HSS-bin Public.
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Jul 19, 2022 · DectICO: an alignment-free supervised metagenomic classification method based on feature extraction and dynamic selection. BMC ...