Researchers at the Wake Forest School of Medicine and Zhejiang University in China have developed a unique mathematical model to probe interactions between prostate tumors and common cancer immunotherapies, both individually and combined.
The team simulated the cancer's reaction to four common immunotherapies, incorporating data from animal trials and modeling tumor responses with the Stampede supercomputer at the Texas Advanced Computing Center (TACC).
The TACC system also enabled the use of bootstrapping for unified feature association measurement to estimate the linkage of pairwise features and identify four immunity-related breast cancer subtypes.
"The pairwise nature of the algorithm makes it suitable for large-scale parallelism using high-performance computing clusters or cloud computation, which is important for mining big data," says Wake Forest's Xiaobo Zhou.
He notes the technique helped the team uncover "a series of core associations, which can provide new insights for understanding pathologies of specific disease...and obtaining therapy clues."
From Texas Advanced Computing Center
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