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Studying bacterial quorum sensing from the signal's perspective: harnessing the predictive and explanatory power of machine learning
Milo, Anat
(PI)
Blackwell, Helen H.
(CoPI)
Department of Chemistry
Overview
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Keyphrases
Agriculture
33%
Bacterial Cells
33%
Bacterial Communication
33%
Bacterial Quorum Sensing
100%
Biological Signaling Pathway
33%
Cell-cell Communication
33%
Chemical Signals
33%
Communication Networks
33%
Computational Methods
66%
Explanatory Power
100%
Human Health
33%
Machine Learning
100%
New Therapeutic Approaches
33%
Predictive Power
100%
Signaling Molecules
33%
Signaling Pathway
33%
Signaling System
33%
Synergistic Interaction
33%
Unnatural
33%
Medicine and Dentistry
Bacterial Cell
50%
Cell Communication
50%
Cell Signaling Pathway
50%
Public Health
50%
Quorum Sensing
100%
Signal Transduction
50%
Signaling Molecule
50%