Penalized regression models for multiplex SNPs pyrosequencing data analysis.
(2014) International Biometric Conference — Location: Florence, Italy (6.July.2014)
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- Abstract
- To the best of our knowledge, it is the first time that quadruplex and quintuplex pyrosequencing signals are generated from single wells with each SNP being correctly identified and assigned. Multiplex pyrosequencing enables therefore to lower the global turnaround time of SNPs genotyping and to decrease substantially analytical reagent costs and technician work load while providing reliable results. This new method is therefore highly relevant when considering new cost-effective predictive strategies for a better selection of patients at risk for pros-tate Cancer and other genetic-related diseases.
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Ambroise, J., Butoescu, V. R., Tombal, B., Robert, A., & Gala, J.-L. (2014). Penalized regression models for multiplex SNPs pyrosequencing data analysis. International Biometric Conference, Florence, Italy. https://hdl.handle.net/2078.5/197465