Hydra: A mixture modeling framework for subtyping pediatric cancer cohorts using multimodal gene expression signatures.

ABSTRACT: Precision oncology has primarily relied on coding mutations as biomarkers of response to therapies. While transcriptome analysis can provide valuable information, incorporation into workflows has been difficult. For example, the relative rather than absolute gene expression level needs to be considered, requiring differential expression analysis across samples. However, expression programs related to the cell-of-origin and tumor microenvironment effects confound the search for cancer-specific expression changes. To address these challenges, we developed an unsupervised clustering approach for discovering differential pathway expression within cancer cohorts using gene expression measurements. The hydra approach uses a Dirichlet process mixture model to automatically detect multimodally dis

SUBMITTER: Pfeil J 

PROVIDER: S-EPMC7176284 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature