Category: AAAS

Paul Macklin calls for common standards in cancer modeling

Posted in AAAS, agent-based model, breast cancer, calibration, cancer modeling, data standards, DCIS, in the news, MultiCellDS, NCI, open source, tumor growth - February 21, 2014 - 0 Comment

At a recent NCI-organized mini-symposium on big data in cancer, Paul Macklin called for new data standards in Multicellular data in simulations, experiments, and clinical science. USC featured the talk (abstract here) and the work at news.usc.edu.

Read the article: http://news.usc.edu/59091/usc-researcher-calls-for-common-standards-in-cancer-modeling/ (Feb. 21, 2014)

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