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Gene Selection in Cancer Classification using Hybrid Method Based on Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) Feature Selection and Support Vector Machine.

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Title: Gene Selection in Cancer Classification using Hybrid Method Based on Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) Feature Selection and Support Vector Machine.
Authors: Utami, D. A.1, Rustam, Z.1 rustam@ui.ac.id
Source: AIP Conference Proceedings. 2019, Vol. 2168 Issue 1, p020047-1-020047-6. 6p. 2 Charts.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 139510343
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PubType: Conference
PubTypeId: conference
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  Data: Gene Selection in Cancer Classification using Hybrid Method Based on Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) Feature Selection and Support Vector Machine.
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  Data: <searchLink fieldCode="AR" term="%22Utami%2C+D%2E+A%2E%22">Utami, D. A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Rustam%2C+Z%2E%22">Rustam, Z.</searchLink><relatesTo>1</relatesTo><i> rustam@ui.ac.id</i>
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  Data: <searchLink fieldCode="JN" term="%22AIP+Conference+Proceedings%22">AIP Conference Proceedings</searchLink>. 2019, Vol. 2168 Issue 1, p020047-1-020047-6. 6p. 2 Charts.
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        Value: 10.1063/1.5132474
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 020047-1
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      – TitleFull: Gene Selection in Cancer Classification using Hybrid Method Based on Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) Feature Selection and Support Vector Machine.
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            NameFull: Utami, D. A.
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            NameFull: Rustam, Z.
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              Text: 2019
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              Y: 2019
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