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New Integrated Data Analysis Method to Improve Cancer Cell Research and Treatments


The School of Public Health is creating a new method for identifying important molecular changes to cancer cells. This new method could lead to improved treatments and help more patients defeat the disease.

Called “Bidimensional integration for pan-omics pan-cancer analysis,” the study is led by Assistant Professor Eric Lock, PhD.

“While most studies focus on a single type of cancer or a single cell ome, we’re developing new statistical methods that allow for the comprehensive integration and analysis of multiple cancer types and cancer cell omic data,” says Lock. “Using all of the available data together will give us more power to detect molecular changes to cells that are clinically meaningful, which can be used to guide the treatment of cancers.”

The study is funded by a grant from the National Cancer Institute.

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