James M Tiedje

Datos Biográficos

ID9080243
NOMBREJames M Tiedje
NOMBRESJames M
APELLIDOTiedje
FIRMATIEDJE J M
AFILIACIONESCenter for Microbial Ecology
ORCID0000-0002-8992-6218
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS0
OBRAS COMO AUTOR2
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2007
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H0

  • Artificial intelligence

    Open AccessYongjun Xu, Xin Liu et al.ARTICLEThe Innovation2021

    Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day life. The ML techniques have been developed to analyze high-throughput data with a view to obtaining useful insights, categorizing, predicting, and making evidence-based decisions in novel ways, which will promot…

  • Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy

    Open AccessQiong Wang, Wang Qiong et al.ARTICLEApplied and Environmental…2007

    The Ribosomal Database Project (RDP) Classifier, a naïve Bayesian classifier, can rapidly and accurately classify bacterial 16S rRNA sequences into the new higher-order taxonomy proposed in Bergey's Taxonomic Outline of the Prokaryotes (2nd ed., release 5.0, Springer-Verlag, New York, NY, 2004). It provides taxonomic assignments from domain to genus, with confidence estimates for each assignment. The majority of classifications (98%) were of high…