A novel method predicts cancer and immune cell types from bulk tumor gene expression data with the ability to consider uncharacterized and possibly highly variable cell types, which is validated in human genome.
Multiscale Graph Correlation, an interpretable hypothesis test with strong theoretical guarantees for discerning relationships in complex data, requires about half the sample size as other methods, whilst maintaining computational tractability.
High levels of nuclear YAP are sufficient to drive squamous cell carincoma formation and frequently also drive progression to spindle cell carcinoma by promoting epithelial-to-mesenchymal transition after tissue damage.
Identification and functional characterization of C. elegans luqin-like arginine-tyrosine-NH2 (RYamide) peptides reveal their critical role in feeding-related processes.