Back

A gene expression-based diagnostic classifier for identification of severe COVID-19 and multisystem inflammatory syndrome in children (MIS-C)

Sotomayor-Gonzalez, A.; Loy, C. J.; Nguyen, J.; Servellita, V.; Bhattacharya, S.; Lenz, J.; Williams, M. E.; Suslovic, W.; Cheng, A. P.; Bliss, A.; Saldhi, P.; Streithorst, J.; Huh, H. J.; Foresythe, K.; Oseguera, M.; de la Cruz, K.; Brazer, N.; Wood, N.; Hsieh, C.; Bahar, B.; Gliwa, A.; Bhakta, K.; Perez, M. A.; Anderson, E. J.; Chahroudi, A.; Delaney, M.; Butte, A. J.; DeBiasi, R.; Rostad, C. A.; De Vlaminck, I.; Chiu, C. Y.

2022-09-27 infectious diseases
10.1101/2022.09.26.22280395 medRxiv
Show abstract

Withdrawal StatementThe authors have withdrawn their manuscript owing to data from patients who had not been consented being inadvertently used in the preprint. This has been corrected in the version of the study published in Cell Reports Medicine. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.