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CM4AI Overview
Cell Maps for AI (CM4AI) - Introduction & Overview
Dr. Trey Ideker provides an overview of Cell Maps for AI (CM4AI), the Functional Genomics Module of the Bridge2AI Program.
What is a Cell Map?
Dr. Leah Schaffer describes what a cell map is and how we create cell maps from biological data.
CM4AI Data Sets
CM4AI Data - Functional Analysis with CRISPR/PerturbSeq
Yesh Doctor describes the CRISPR/PerturbSeq data generation module within CM4AI and how these data are used in cell map development.
CM4AI Data - Immunofluorescence (IF)
Jan Hansen presents on the Immunofluorescence data generation module within Cell Maps for AI and how these data are integrated to build cell maps.
CM4AI Tools and Applications
The Cell Maps Pipeline
Chris Churas provides an overview of the cell map pipeline, which uses multimodal biological data to generate a hierarchical cell map for biomedical artificial intelligence and machine learning applications.
Visible Neural Network Toolkit
Joanna Lenkiewicz provides an introduction to the visible neural network (VNN) toolkit being used by the Cell Maps for AI (CM4AI) program to create explainable artificial intelligence and machine learning models to guide precision medicine.
Large Language Models (LLMs) for Gene Set Annotation
Clara Hu presents a new approach to annotating gene sets and cell maps with generative AI as part of the Cell Maps for AI (CM4AI) in-person internship.
Introduction to Quantum Computing
Dr. Erin Lee presents an introduction to quantum computing, with the goal of applying this technology to community detection for the assembly of cell maps. For a more detailed primer on quantum computing in biomedicine: https://doi.org/10.1093/jamia/ocae149