Cell Maps for Artificial Intelligence - March 2025 Data Release (Beta)
This dataset is the March 2025 Data Release of Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org), the Functional Genomics Grand Challenge in the NIH Bridge2AI program. This Beta release includes perturb-seq data in undifferentiated KOLF2.1J iPSCs; SEC-MS data in undifferentiated KOLF2.1J iPSCs and iPSC-derived NPCs, neurons, and cardiomyocytes; and IF images in MDA-MB-468 breast cancer cells in the presence and absence of chemotherapy (vorinostat and paclitaxel). CM4AI output data are packaged with provenance graphs and rich metadata as AI-ready datasets in RO-Crate format using the FAIRSCAPE framework.
Role
Name
ORCID
Affiliation
Contributor
Clark T
-
University of Virginia
Contributor
Parker J
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University of California, San Diego
Contributor
Ideker T
-
University of California San Diego
Description
Perturb-seq, SEC-MS, and immunofluorescence imaging techniques
Description
Collaboration between UCSD, UCSF, Stanford, UVA, Yale, UA Birmingham, Simon Fraser University, and the Hastings Center
Description
March 2025 Data Release (Beta)
Description
Data packaged with provenance graphs and rich metadata as AI-ready datasets
AI
artificial intelligence
breast cancer
Bridge2AI
cardiomyocyte
CM4AI
CRISPR/Cas9
induced pluripotent stem cell
machine learning
mass spectroscopy
protein localization
single-cell RNA sequencing
University of Virginia Dataverse
2025-03-20
beta
NIH Bridge2AI program
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Uses
What (other) tasks could the dataset be used for?
Response
Functional genomics and cellular mapping for artificial intelligence applications
Description
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license (CC BY-NC-SA 4.0)
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Maintenance
How will the dataset be maintained?
Beta
Generated on 2025-11-09 10:17:35 using Bridge2AI Data Sheets Schema