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BRCA testing services are now offered by various healthcare providers, thus it is important to evaluate whether the implementation of cancer risk management (CRM) strategies varies by service provider. Using a registry‐based sample of 795 female BRCA mutation carriers, we explored the association between uptake of CRM strategies with duration of genetic counseling (GC) sessions, provider type, and...
Embedded computing platforms have long incorporated non-traditional architectures (e.g., FPGAs, ASICs) to combat the diminishing returns of Moore's Law as applied to traditional processors. These specialized architectures can offer higher performance potential in a smaller space, higher power efficiency, and competitive costs. A price is paid, however, in development difficulty in determining functional...
Many studies have been proposed to identify gene makers that are associated with cancers, but the found markers are approach dependent. For example, the results are correlated with classifiers in supervised feature selection, and many of them didn't consider the influences of other factors, such as the grades or stages of cancers. In this study, we proposed a supervised SVD approach to extract the...
The goal of venous thromboembolism (VTE) prophylaxis is to reduce the morbidity and mortality associated with the development of a deep venous thrombosis (DVT) or pulmonary embolism (PE). Because women with gynecologic cancers are at high risk to develop VTE, we sought to determine the present practice patterns of gynecologic oncologists regarding their use of VTE prophylaxis.1073 members of the Society...
Large-scale protein sequence comparison is an important but compute-intensive task in molecular biology. The popular BLASTP software for this task has become a bottleneck for proteomic database search. One third of this software's time is spent executing the Smith-Waterman dynamic programming algorithm. This work describes a novel FPGA design for banded Smith-Waterman, an algorithmic variant tuned...
Comparison between biosequences and probabilistic models is an increasingly important part of modern DNA and protein sequence analysis. The large and growing number of such models in today's databases demands computational approaches to searching these databases faster, while maintaining high sensitivity to biologically meaningful similarities. This work describes an FPGA-based accelerator for comparing...
Ovarian cancer is the fifth leading cause of cancer death among women in the United States and western Europe. Platinum drugs are the most active agents in epithelial ovarian cancer therapy. In order to improve the prediction of response to platinum-based chemotherapy for advanced-stage ovarian cancers, we describe an integrated model which combines clinical information tumor and treatment information,...
It is a challenge to construct a reliable classifier based on microarray gene expression data for prediction of chemotherapy response, because usually only a small number of samples are available and each sample has thousands of gene expressions. This paper uses boosting and bootstrap approaches to improve the reliability of prediction. Specifically, AdaBoost and multiple classifiers based methods...
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