SOURCE METADATA
Project: CM4AI
Source ID: project_documentation
Source type: documentation
Source URL: https://cm4ai.org/
Raw file: data/raw/CM4AI/cm4ai_org_row10.html
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Cell Maps For AI (CM4AI) – Cell Maps For AI
Home
People
Project Overview
Tools
Data Acquisition
Teaming
Standards
Ethics
Skills and Workforce
Products
Data Releases
Tools
Product Documentation
Publications
Learning
Home
People
Project Overview
Tools
Data Acquisition
Teaming
Standards
Ethics
Skills and Workforce
Products
Data Releases
Tools
Product Documentation
Publications
Learning
Welcome, explore, discover.
Cell Maps For AI: Mapping Cellular Structure and Function
The
CM4AI
data generation project seeks to map the spatiotemporal architecture of human cells and use these maps toward the grand challenge of interpretable genotype-phenotype learning
Data Insights
Explore the numbers behind our innovative data generation project and see the impact we are making.
Data Releases
Protein Interactions
1,374
Immunofluorescent Images
53,788
Total Proteins Investigated
7,023
genes targeted
11,739
Data volume
21.4 TB
CM4AI Project Components
Tools
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Data Acquisition
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Teaming
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Ethics
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Standards
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Skills & Workforce Development
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Data Releases
CM4AI project is a coordinated effort involving three complementary mapping approaches – proteomic mass spectrometry, cellular imaging, and genetic perturbation via CRISPR/Cas9
Explore
Tools
CM4AI is developing tools to integrate multimodal data, with the goal of creating a library of large-scale maps of cellular structure and function across demographic and disease contexts
Discover
Publications
Check out our recent publications to learn more about how CM4AI is addressing the Bridge2AI’s Functional Genomics grand challenge
Read
Training
CM4AI offers a wealth of educational content and a robust hands-on training program to foster biomedical AI/ML skill development
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Mapping Approaches
Discover the different mapping approaches we use to generate valuable data for your research.
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Proteomic Mass Spectrometry
Our cutting-edge proteomic mass spectrometry technology allows for precise mapping of cellular structure and function.
Cellular Imaging
Through advanced cellular imaging techniques, we are able to reveal the intricate details of human cells.
Genetic Perturbation via CRISPR/Cas9
Our use of CRISPR/Cas9 technology allows for targeted genetic perturbation and further insights into cellular mechanisms.
CM4AI in Action
Through a growing portfolio of educational resources, CM4AI connects with the biomedical and AI/ML communities to advance collaboration and cultivate future talent.
LEARNING OPPORTUNITIES
CM4AI Institutions
Join the effort towards interpretable genotype-phenotype learning
Learn more about our project and the maps we are creating to revolutionize the fields of genomics and precision medicine, through the use of advanced technologies such as proteomic mass spectrometry, cellular imaging, and genetic perturbation via CRISPR/Cas9.
Learn More
Funding
NIH funding award number: 1OT2OD032742-01
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Contact Us
Project-Related Inquiries:
Swathi Thaker, PhD, UAB, Program Manager
snthaker@uab.edu
Website Support & Updates:
Zhandos Sembay, UAB
zsembay8@uab.edu
© 2026 Cell Maps For AI (CM4AI)
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Disclaimer
This repository is under review for potential modification in compliance with Administration directives.
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