dc.contributor.author |
Das Roy, P
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|
dc.contributor.author |
Basu, C
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|
dc.contributor.author |
Das, Sonali
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|
dc.contributor.author |
Das Gupta, A
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|
dc.date.accessioned |
2014-08-15T12:56:42Z |
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dc.date.available |
2014-08-15T12:56:42Z |
|
dc.date.issued |
2014-06 |
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dc.identifier.citation |
Das 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 221-230 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/7584
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|
dc.description |
Copyright: 2014 Calcutta Statistical Association Bulletin. This is the pre/post print version. The definitive version is Published in Calcutta Statistical Association Bulletin, pp 221-230 |
en_US |
dc.description.abstract |
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 Naijve 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. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Calcutta Statistical Association Bulletin |
en_US |
dc.relation.ispartofseries |
Workflow;13197 |
|
dc.subject |
Acute Coronary Syndrome |
en_US |
dc.subject |
ACS |
en_US |
dc.subject |
Single Nucleotide Polymorphism |
en_US |
dc.subject |
SNP |
en_US |
dc.subject |
Heart attacks |
en_US |
dc.title |
Statistical studies for SNP association in acute coronary syndrome ex vivo use of agonists and nanoparticles |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Das 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/10204/7584 |
en_ZA |
dc.identifier.chicagocitation |
Das 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/10204/7584 |
en_ZA |
dc.identifier.vancouvercitation |
Das 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. |
en_ZA |
dc.identifier.ris |
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 Naijve 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 -
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en_ZA |