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Akademický článek
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Autor:
Salvatore Gaglio, Alfonso Urso, Giovanni Renda, Laura La Paglia, Riccardo Rizzo, Massimo La Rosa, Antonino Fiannaca, Giosuè Lo Bosco
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 19, Iss S7, Pp 61-76 (2018)
BMC bioinformatics 19 (2018): 61–76. doi:10.1186/s12859-018-2182-6
info:cnr-pdr/source/autori:A. Fiannaca; L. La Paglia; M. La Rosa; G. Lo Bosco; G. Renda, R. Rizzo; S. Gaglio; A. Urso/titolo:Deep learning models for bacteria taxonomic classification of metagenomic data/doi:10.1186%2Fs12859-018-2182-6/rivista:BMC bioinformatics/anno:2018/pagina_da:61/pagina_a:76/intervallo_pagine:61–76/volume:19
BMC Bioinformatics, Vol 19, Iss S7, Pp 61-76 (2018)
BMC bioinformatics 19 (2018): 61–76. doi:10.1186/s12859-018-2182-6
info:cnr-pdr/source/autori:A. Fiannaca; L. La Paglia; M. La Rosa; G. Lo Bosco; G. Renda, R. Rizzo; S. Gaglio; A. Urso/titolo:Deep learning models for bacteria taxonomic classification of metagenomic data/doi:10.1186%2Fs12859-018-2182-6/rivista:BMC bioinformatics/anno:2018/pagina_da:61/pagina_a:76/intervallo_pagine:61–76/volume:19
Background An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered as a barcode for bacteria clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d07230f94afde6d2daa885833c4ead31
https://pubmed.ncbi.nlm.nih.gov/30066629
https://pubmed.ncbi.nlm.nih.gov/30066629
Autor:
Pepe, F., Pierfrancesco, B., Luigi, F., Carmelo, M., Marco, S., Sulli, A., Giovanni, B., Dardanelli, G., DI MAGGIO, C., Barbara, O., Renda, P., Corradino, M., GASPARO MORTICELLI, M., Paliaga, S., Parrino, N., Pipitone, C., Debora Presti, &.
Seismogenic fault models and active deformation ones coupled with models of both earthquake rate and earthquake probability were recently used in a time-independent modelling. The integration of models allows to estimates the magnitude, location, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3931246c132e652c8053b4065a3fefc0
http://hdl.handle.net/10447/295818
http://hdl.handle.net/10447/295818
