NEUROeSTIMator: Using Deep Learning to Quantify Neuronal Activation from Single-Cell and Spatial Transcriptomic Data
Ethan Bahl, Snehajyoti Chatterjee, Utsav Mukherjee, Muhammad Elsadany, Yann S. Vanrobaeys, Li‐Chun Lin, Miriam C. McDonough, Jon M. Resch, Karl-Peter Giese, Ted G. Abel, Jacob J. Michaelson
NEUROeSTIMator uses deep learning to estimate neuronal activation from single-cell and spatial transcriptomic data, showing robustness across species and brain regions.
Nature Communications · Jan 26, 2024Peer-reviewedBioinformatics