Cancer progression modeling using static sample data

Yijun Sun, Jin Yao, Norma J Nowak, Steve Goodison
2014 Genome Biology  
As molecular profiling data continue to accumulate, the design of integrative computational analyses that can provide insights into the dynamic aspects of cancer progression becomes feasible. Here, we present a novel computational method for the construction of cancer progression models based on the analysis of static tumor samples. We demonstrate the reliability of the method with simulated data, and describe the application to breast cancer data. Our findings support a linear, branching model
more » ... for breast cancer progression. An interactive model facilitates the identification of key molecular events in the advance of disease to malignancy.
doi:10.1186/s13059-014-0440-0 pmid:25155694 pmcid:PMC4196119 fatcat:o56keqrbwncbhdgznj4ycbswfm