Monday, 10 June 2013

Mathematical technique de-clutters cancer-cell data, revealing tumor evolution, treatment leads

Two scientists from Cold Spring Harbor Laboratory (CSHL) have published a mathematical method of simplifying and interpreting genome data bearing evidence of mutations, such as those that characterize specific cancers. Not only is the technique highly accurate; it has immediate utility in efforts to parse tumor cells, in order to determine a patient’s prognosis and the best approach to treatment. Read more here.

Study mentioned: Krasnitz A, et al. Target inference from collections of genomic intervals. Proc Natl Acad Sci U S A. 2013 Jun 6. [Epub ahead of print] PMID: 23744040

No comments:

Post a Comment