Nature

Joint inference of discrete and continuous factors captures variability across and within cell types

We developed mixture model inference with discrete-coupled autoencoders (MMIDAS), an unsupervised variational framework that jointly learns discrete clusters and continuous cluster-specific ...
Nature

Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS

Understanding the nature and extent of cellular diversity in the brain is key to unraveling the complexity of neural circuits, their connectivity and roles in behavior, in health and disease 1,2,3.
ascopubs.org

Evolving From Discrete Molecular Data Integrations to Actionable Molecular Insights Within the Electronic Health Record

Furthermore, EHRs serve as the primary interface for clinicians and laboratories to order tests and receive results, but molecular profiling results and their interpretation often exist outside of the ...
ascopubs.org

Time savings from integrating discrete, genomic data into the electronic health record using the Epic Aura Network.

Clinical factors associated with successful liquid tumor biopsy in men with prostate cancer. This is an ASCO Meeting Abstract from the 2023 ASCO Annual Meeting I. This abstract does not include a full ...