Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied to experiments representing a single condition, technology, or species to discover and define cellular phenotypes.

GWAS have successfully uncovered many associated loci. Such approaches typically analyze thousands of nominally unrelated individuals and search for correlations between genetic variants and a single ...

Thirty-Day Unplanned Hospital Readmissions in Patients With Cancer and the Impact of Social Determinants of Health: A Machine Learning Approach There is strong interest from patients, researchers, the ...

Introduction Interoperability, in the context of complex oncology data sets, is the ability to share and reuse data across multiple nodes without semantic, contextual, or structural loss. 1 Reuse of ...

The Cancer Moonshot initiative has emphasized the importance of breaking down data silos to create a comprehensive and effective “cancer knowledge network” that would accelerate the combining of ...

How to use Excel’s Data Model to turn related data into meaningful information Your email has been sent Excel's Data Model feature allows you to build relationships between data sets for easier ...

Learn to chart multiple data sets on one graph in Excel with this concise two-minute tutorial. Explore how to utilize more than one Y Axis to effectively display different types of data together.