Spatial expression assays are affected by segmentation errors leading to difficulty interpreting cell types. Here, the authors introduce a machine learning model to infer cell types accounting for such errors, and evaluation metrics and gold-standard datasets to enable further advances in this area.
- Yuju Lee
- Edward L. Y. Chen
- Kieran R. Campbell
