MOSBY enables multi-omic inference and spatial biomarker discovery from whole slide images
Author:
Funder
Genentech
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-69198-6.pdf
Reference53 articles.
1. Comiter, C. et al. Inference of single cell profiles from histology stains with the Single-Cell omics from Histology Analysis Framework (SCHAF). https://doi.org/10.1101/2023.03.21.533680 (2023).
2. Alsaafin, A., Safarpoor, A., Sikaroudi, M., Hipp, J. D. & Tizhoosh, H. R. Learning to predict RNA sequence expressions from whole slide images with applications for search and classification. Commun. Biol. 6, 304 (2023).
3. Yang, K. D. et al. Multi-domain translation between single-cell imaging and sequencing data using autoencoders. Nat. Commun. 12, 31 (2021).
4. Tsai, P.-C. et al. Histopathology images predict multi-omics aberrations and prognoses in colorectal cancer patients. Nat. Commun. 14, 2102 (2023).
5. Haviv, D., Gatie, M., Hadjantonakis, A. K., Nawy, T. & Peer, D. The covariance environment defines cellular niches for spatial inference. Nat. Biotechnol. https://doi.org/10.1101/2023.04.18.537375 (2023).
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