The shape of gene expression distributions matter: how incorporating distribution shape improves the interpretation of cancer transcriptomic data
Laurence de Torrenté, Samuel E. Zimmerman, Masako Suzuki, Maximilian Christopeit, John M. Greally, Jessica C. Mar
This study shows that gene expression distributions in cancer data are often non-Normal, and using this information improves survival classification in cancer patients.
BMC Bioinformatics · Dec 1, 2020Peer-reviewedBioinformatics