AIMC Topic: RNA, Ribosomal, 16S

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Compositional data network analysis via lasso penalized D-trace loss.

Bioinformatics (Oxford, England) Sep 15, 2019
MOTIVATION: With the development of high-throughput sequencing techniques for 16S-rRNA gene profiling, the analysis of microbial communities is becoming more and more attractive and reliable. Inferring the direct interaction network among microbial c...
Neural Networks, Computer Algorithms Animals Mice RNA, Ribosomal, 16S Microbiota High-Throughput Nucleotide Sequencing
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[A machine learning model based on initial gut microbiome data for predicting changes of Bifidobacterium after prebiotics consumption].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Mar 20, 2018
OBJECTIVE: To investigate the effects of prebiotics supplementation for 9 days on gut microbiota structure and function and establish a machine learning model based on the initial gut microbiota data for predicting the variation of Bifidobacterium af...
Humans Machine Learning Feces Gastrointestinal Microbiome RNA, Ribosomal, 16S Double-Blind Method Prebiotics Bifidobacterium
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[Effects of Soil Microbial Diversity on the Phosphate Fraction in the Rhizosphere of in the Yeyahu Wetland in Beijing, China].

Huan jing ke xue= Huanjing kexue Nov 8, 2017
In this research, microorganisms in rhizosphere/non-rhizosphere soils of in the Yeyahu Wetland were studied. A sequential extraction procedure was used to analyze the phosphorus (P) forms in the rhizosphere/non-rhizosphere soil with a variety of pla...
Soil Bacteria Soil Microbiology RNA, Ribosomal, 16S Poaceae Wetlands Phosphates Beijing Rhizosphere
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[A machine learning model using gut microbiome data for predicting changes of trimethylamine-N-oxide in healthy volunteers after choline consumption].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Mar 20, 2017
OBJECTIVE: To establish a machine learning model based on gut microbiota for predicting the level of trimethylamine N-oxide (TMAO) metabolism in vivo after choline intake to provide guidance of individualized precision diet and evidence for screening...
Humans Machine Learning Algorithms Gastrointestinal Microbiome RNA, Ribosomal, 16S Oxides Eggs Healthy Volunteers Choline Methylamines
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An integrated strategy for functional analysis of microbial communities based on gene ontology and 16S rRNA gene.

International journal of data mining and bioinformatics Jan 1, 2015
In order to analyse the similarity among microbial communities on functional state after assigning 16S rRNA sequences from all microbial communities to species. It's an important addition to the species-level relationship between two compared communi...
Sequence Analysis, RNA RNA, Ribosomal, 16S DNA, Ribosomal Microbial Consortia Gene Ontology
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