We extend the self-organizing approach for annotation of a bacterial genome to analyze the raw sequencing data of the human gut metagenome without sequence ...
We extend the self-organizing approach for annotation of a bacterial genome to analyze the raw sequencing data of the human gut metagenome without sequence ...
Abstract: We extend the self-organizing approach for annotation of a bacterial genome to analyzing the raw sequencing data of the human gut metagenome ...
Self-organizing approach for meta-genomes | Computational ...
dl.acm.org › j.compbiolchem.2014.08.016
We extend the self-organizing approach for annotation of a bacterial genome to analyze the raw sequencing data of the human gut metagenome without sequence ...
PDF | We extend the self-organizing approach for annotation of a bacterial genome to analyzing the raw sequencing data of the human gut metagenome.
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Dec 16, 2010 · Techniques like self-organizing maps (SOMs) have been applied to cluster metagenomes into taxon-specific bins in order to link biodiversity with functions.
Nov 21, 2024 · This approach has been used by a few studies to cluster and visualize gene expression data in Drosophila melanogaster, Caenorhabditis elegans, ...
... genes, while metagenomic approaches target metabolic genes. ... Techniques like self-organizing maps (SOMs) have been applied to cluster metagenomes ... In order to ...
Self-organizing approach for meta-genomes. We extend the self-organizing approach for annotation of a bacterial genome to analyze the raw sequencing data of ...
Jul 2, 2020 · We have developed an alignment-free clustering method on the basis of an unsupervised neural network “Batch-Learning Self-Organizing Map (BLSOM)”