|Awarded On||November 16, 2016|
|Title||Development and Validation of a Network-guided, Multi-objective Optimization Model for Cancer Data Analysis.|
|Award Mechanism||Individual Investigator Research Awards for Computational Biology|
|Institution/Organization||Baylor College of Medicine|
|Principal Investigator/Program Director||Zhandong Liu|
|Cancer Sites||All Sites|
Chemotherapy is the most frequently used treatment in cancer. Although it has been shown to be effective in treating some cancers, a great spectrum of variation has been observed in the ability of chemotherapy to treat solid human cancers. Identifying key pathways that determine not only response to treatment but also survival is a critical step toward developing effective personalized cancer treatments. Massive amounts of genomic, molecular, and clinical data has been generated in recent years with the goal of comprehensively characterizing human cancers. However, integration and analysis of this data is currently limited by its sheer size and complexity. To address this challenge, we ha...