A bacterial sensor taxonomy across earth ecosystems for machine learning applications

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Bibliographische Detailangaben
Veröffentlicht in:mSystems Jg. 9
Hauptverfasser: Helen Park, Marcin P. Joachimiak, Sean P. Jungbluth, Ziming Yang, William J. Riehl, R. S. Canon, Adam P. Arkin, Paramvir Dehal
Format: Journal Article
Sprache:Japanisch
Veröffentlicht: American Society for Microbiology 23.01.2024
Schlagworte:
Artificial intelligence
Biochemistry
Biochemistry, Genetics and Molecular Biology
Biological Sciences
Biology
Computational biology
Computer network
Computer science
Data Management and Data Science
Data science
Diversity and Function of Gut Microbiome
Earth
Ecology
Environmental Science
feature importance
FOS: Biological sciences
Gene
histidine kinase
Host (biology)
human microbiome
Humans
Information and Computing Sciences
Life Sciences
Machine Learning
Machine Learning and Artificial Intelligence
Marine Microbial Diversity and Biogeography
Metagenome
Metagenomic Analysis
metagenomics
metagenomics assembly
Microbial Biogeography
Microbial Ecology
Microbiology
Microbiota
Molecular Biology
Physical Sciences
Planet
QR1-502
Research Article
RNA Sequencing Data Analysis
sensory transduction processes
Wireless sensor network
ISSN:2379-5077
Online-Zugang:Volltext
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ISSN:2379-5077
DOI:10.1128/msystems.00026-23