The genetic landscape on manifolds from human genes. (1st January 2014)

• Record Type: Journal Article
• Authors: Cheng, Wei-Chen
• Is Part Of: International journal of intelligent information and database systems. Volume 8:Number 3(2014)
• Page Start: 244
• Page End: 259
• Publication Date: 2014-01-01
• Subjects: gene -- manifold -- population -- landscape -- DNA -- protein-coding region -- intellect -- DISOM -- Isomap -- database system; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• DOI: 10.1504/IJIIDS.2014.066640
• Languages: English
• ISSNs: 1751-5858

Abstract

The high throughput sequencing technology generates large amount of data and the computational methods therefore play important roles in bioinformatics research. This paper reports the findings from the result of analysing human genetic information by three manifold learning algorithms and two clustering methods. We target the genes that relate to human intelligence, selecting 38 of them, and marking them on the visualisation results.