Machine Learning Reveals Missing Edges and Putative Interaction Mechanisms in Microbial Ecosystem Networks

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Machine Learning Reveals Missing Edges and Putative Interaction Mechanisms in Microbial Ecosystem Networks

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http://www.wikidata.org/entity/Q58704192

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wetenschappelijk artikel

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Machine Learning Reveals Missi ...... n Microbial Ecosystem Networks

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Machine Learning Reveals Missi ...... n Microbial Ecosystem Networks

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Machine Learning Reveals Missi ...... n Microbial Ecosystem Networks

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Machine Learning Reveals Missi ...... n Microbial Ecosystem Networks

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Machine Learning Reveals Missi ...... n Microbial Ecosystem Networks

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Machine Learning Reveals Missi ...... n Microbial Ecosystem Networks

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P1476

Machine Learning Reveals Missi ...... n Microbial Ecosystem Networks

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P2093

Daniel Segrè

http://www.w3.org/2001/XMLSchema#string

Demetrius DiMucci

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Mark Kon

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P2860

GenBank

KEGG: Kyoto Encyclopedia of Genes and Genomes

Synthetic Ecology of Microbes: Mathematical Models and Applications

Basic concepts and principles of stoichiometric modeling of metabolic networks

Co-culture systems and technologies: taking synthetic biology to the next level

Using Genome-scale Models to Predict Biological Capabilities

What is flux balance analysis?

Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences

Prokka: rapid prokaryotic genome annotation

pROC: an open-source package for R and S+ to analyze and compare ROC curves

P31

scholarly article

P356

10.1128/MSYSTEMS.00181-18

http://www.w3.org/2001/XMLSchema#string

P407

English

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P478

http://www.w3.org/2001/XMLSchema#string

P698

30417106

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P921

machine learning

P932

6208640

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