Statistical studies for SNP association in acute coronary syndrome ex vivo use of agonists and nanoparticles

Das Roy, PBasu, CDas, SonaliDas Gupta, A2014-08-152014-08-152014-06Das Roy, P, Basu, C, Das, S and Das Gupta, A. 2014. Statistical studies for SNP association in acute coronary syndrome ex vivo use of agonists and nanoparticles. Calcutta Statistical Association Bulletin, pp 221-230http://hdl.handle.net/10204/7584Copyright: 2014 Calcutta Statistical Association Bulletin. This is the pre/post print version. The definitive version is Published in Calcutta Statistical Association Bulletin, pp 221-230In this paper we apply statistical classification techniques to a case-control study. The data analysed relates to Acute Coronary Syndrome (ACS). We discuss an adaptation of the NaÄ³ve Bayes method, and assess the results using an analysis of deviance based approach. Analysis of deviance is used to rank the driver variables, such as phenotype and genotype variables to their relative contribution to classify a new case into one of ACS or non-ACS group. Results from the case study reveal that a combination of Single Nucleotide Polymorphism 2 and Single Nucleotide Polymorphism 4 is the most important, and the aggregation of platelets on addition of Adenosine-di-phosphate along with nano particles the next most important factors in classifying an unseen patient into one of the two groups. Some limitations and future analyses are also discussed.enAcute Coronary SyndromeACSSingle Nucleotide PolymorphismSNPHeart attacksStatistical studies for SNP association in acute coronary syndrome ex vivo use of agonists and nanoparticlesArticleDas Roy, P., Basu, C., Das, S., & Das Gupta, A. (2014). Statistical studies for SNP association in acute coronary syndrome ex vivo use of agonists and nanoparticles. http://hdl.handle.net/10204/7584Das Roy, P, C Basu, Sonali Das, and A Das Gupta "Statistical studies for SNP association in acute coronary syndrome ex vivo use of agonists and nanoparticles." (2014) http://hdl.handle.net/10204/7584Das Roy P, Basu C, Das S, Das Gupta A. Statistical studies for SNP association in acute coronary syndrome ex vivo use of agonists and nanoparticles. 2014; http://hdl.handle.net/10204/7584.TY - Article AU - Das Roy, P AU - Basu, C AU - Das, Sonali AU - Das Gupta, A AB - In this paper we apply statistical classification techniques to a case-control study. The data analysed relates to Acute Coronary Syndrome (ACS). We discuss an adaptation of the NaÄ³ve Bayes method, and assess the results using an analysis of deviance based approach. Analysis of deviance is used to rank the driver variables, such as phenotype and genotype variables to their relative contribution to classify a new case into one of ACS or non-ACS group. Results from the case study reveal that a combination of Single Nucleotide Polymorphism 2 and Single Nucleotide Polymorphism 4 is the most important, and the aggregation of platelets on addition of Adenosine-di-phosphate along with nano particles the next most important factors in classifying an unseen patient into one of the two groups. Some limitations and future analyses are also discussed. DA - 2014-06 DB - ResearchSpace DP - CSIR KW - Acute Coronary Syndrome KW - ACS KW - Single Nucleotide Polymorphism KW - SNP KW - Heart attacks LK - https://researchspace.csir.co.za PY - 2014 T1 - Statistical studies for SNP association in acute coronary syndrome ex vivo use of agonists and nanoparticles TI - Statistical studies for SNP association in acute coronary syndrome ex vivo use of agonists and nanoparticles UR - http://hdl.handle.net/10204/7584 ER -