Azimazade et al. developed an explainable machine learning (XML) pipeline to study associations between clinical outcomes and in silico estimated cell types within the TIME of over 5,000 METABRIC and TCGA [...] bit.ly/4uteIkj
@younessazimzade.bsky.social
@alvarokohn.bsky.social
