Predictive genotype based on phenotype using the association rules mining

Ranny, Ito Wasito, Mujiono Sadikin, Teny Handhayani

Research output: Contribution to conferencePaperpeer-review

Abstract

Genotype data is very important for many purposes since it contains such information of living organism. Unfortunately it is very hard to get the data. To get the data, it is needed a long and difficult chemical process. The purpose of this research is to develop a predictive gene sequence scheme in order to minimize the producing of the data. The scheme is made by finding the pattern of data correlation to perform a rule. The association rule mining method is used to build the rules andit can be used for genotype prediction. The prediction will be evaluated by the training and non training data on the experiment. The result of the experiment is an accuracy score of the predictive genotype. The accuracy of the training data is about 90% and the non training data is about 40%.

Original languageEnglish
Pages185-188
Number of pages4
DOIs
Publication statusPublished - 1 Jan 2013
Event2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 - Bali, Indonesia
Duration: 28 Sep 201329 Sep 2013

Conference

Conference2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013
Country/TerritoryIndonesia
CityBali
Period28/09/1329/09/13

Fingerprint

Dive into the research topics of 'Predictive genotype based on phenotype using the association rules mining'. Together they form a unique fingerprint.

Cite this