MIT and Whitehead researchers publish IRIS model that decodes cell signaling from gene activity
Overview
Researchers Pulin Li and Nicholas Hutchins at MIT and Whitehead Institute built IRIS, a neural network that identifies which of six signaling pathways a cell received during embryonic development.
The model was trained on human embryonic stem cell data and applied to mouse gastrulation cells, according to MIT News. The team says IRIS correctly predicted that activating a specific pathway would promote lung development, and mouse experiments confirmed the prediction. The findings were published in Nature Methods on September 8.
Written by AI from the articles below · updated Oct 15, 5:00 PM ET
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- MIT News · AIOfficialPickAI model IRIS decodes the signals cells use to communicate during development
AIResearchers led by Pulin Li and Nicholas Hutchins at MIT and Whitehead Institute built IRIS, a neural network that identifies which of six signaling pathways a cell received during embryonic development. The model was trained on human embryonic stem cell data, predicted signaling in mouse gastrulation cells, and correctly predicted that activating a specific pathway would promote lung development, which mouse experiments confirmed. The findings were published in Nature Methods on September 8.
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