Cell Maps for AI (CM4AI) Grand Challenge
The Functional Genomics Grand Challenge seeks to map the spatiotemporal architecture of human cells and use these maps toward the grand challenge of interpretable genotype-phenotype learning. In genomics and precision medicine, machine learning models are often “black boxes,” predicting phenotypes from genotypes without understanding the mechanisms by which such translation occurs. To address this deficiency, this project will launch a coordinated effort involving three complementary mapping approaches – proteomic mass spectrometry, cellular imaging, and genetic perturbation via CRISPR/Cas9 – creating a library of large-scale maps of cellular structure/function across demographic and disease contexts.
Who We Are
Contact Principal Investigator
University of California San Diego
Principal Investigator
Simon Fraser University
Principal Investigator
University of Alabama at Birmingham
Principal Investigator
University of Virginia
Principal Investigator
University of California San Francisco
Principal Investigator
Stanford University
Principal Investigator
University of California San Diego
Principal Investigator
University of Montreal
Principal Investigator
Yale University
Co-PI
Yale University
Co-PI
University of Texas at Austin
Co-PI
University of Virginia
Co-PI
University of California San Francisco