An Empirical Comparison of EM and K-means Algorithms for Binning Metagenomics Datasets
ABSTRACT: Metagenomics is an area of microbiology that deals with the taxonomic classification of genomic samples taken directly from the environment. These samples are sequences of variable length and they may correspond to different species, some of which may be unknown or not previously stored in...
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| Auteurs principaux: | , |
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| Langue: | English |
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Universidad de Tarapacá.
2018
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| Accès en ligne: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052018000500020 |
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