Channel Embedding for Informative Protein Identification from Highly Multiplexed Images
S. A. Magid, W.-D. Jang, D. Schapiro, D. Wei, J. Tompkin, P. K. Sorger, H. Pfister
This paper introduces a channel embedding method for interpreting highly multiplexed biomedical images, demonstrating its effectiveness on synthetic data and breast cancer cell images.
bioRxiv · Mar 24, 2020 · PreprintPathology