Article
Network-based inference of cancer progression from microarray data.
IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000
Park Yongjin, Shackney Stanley, Schwartz Russell
Abstract excerpt
Cancer cells exhibit a common phenotype of uncontrolled cell growth, but this phenotype may arise from many different combinations of mutations. By inferring how cells evolve in individual tumors, a process called cancer progression, we may be able to identify important mutational events for different tumor types, potentially leading to new therapeutics and diagnostics. Prior work has shown that it is possible to...
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