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Software . 2023
License: CC BY
Data sources: Datacite
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Software . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Software . 2023
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MetaFast modification for key k-mers extraction based on Latent Dirichlet Allocation

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 19 May 2023Publisher:Zenodo
Authors: Popov, Vladimir;

doi: 10.5281/zenodo.7951192 , 10.5281/zenodo.7951191

MetaFast modification for key k-mers extraction based on Latent Dirichlet Allocation

Abstract

Key k-mers-based MetaFast modification for feature extraction from groups of metagenomic samples. Developed as part of the work on the thesis titled "Feature extraction based on de Bruijn graphs for metagenomic samples classification"'.

Related Organizations
Keywords

metagenomics, feature extraction, latent Dirichlet allocation, k-mers

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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