Biological Networks and Machine Learning
Image Credit: Dr. Ernest Fraenkel
Research in this area seeks to discover and model the molecular interactions and regulatory networks that underlie phenotypes at the cellular and organismal level, often involving the use of advanced machine learning approaches. Also includes studies of cellular interaction networks (e.g., in the nervous system).
Scientists track evolution of microbes on the skin’s surface
A new analysis reveals how Staphylococcus aureus gains mutations that allow it to colonize eczema patches.
Brandon (Brady ) Weissbourd
Jörn Dunkel
Sara Prescott
Hernandez Moura Silva
New model helps identify mutations that drive cancer
Image: Dylan Burnette and Jennifer Lippincott-Schwartz, National Institutes of Health, edited by MIT News
The system rapidly scans the genome of cancer cells, could help researchers find targets for new drugs.
Xiao Wang
Seeking the cellular mechanisms of disease, with help from machine learning
Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness
Image: Adam Glanzman
Connor W. Coley
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