DCN variations for autism diagnosis

Author

Alsagabi, Majid I. ; Tewfik, Ahmed H.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA

fYear

2010

fDate

3-5 March 2010

Firstpage

1

Lastpage

4

Abstract

Autism is correlated with DNA copy number variations (DCV). We used a statistical approach to analyze 75Mb of DNA samples of 71 autistic children and 71 typically developing children to prove the existence of significant differences between the two groups in their copy number burden. We applied unsupervised Fuzzy k-means clustering analysis first locally to identify the most distinctive locations, then globally to synthesize a collection of CNVs that have a strong power of segregating AU group from TD. We defined a collection of 13 CNVs with a total length < 100kb that classifies 121 individuals out of 142 correctly.

Keywords

DNA; fuzzy logic; genetics; medical computing; medical disorders; molecular biophysics; paediatrics; patient diagnosis; pattern classification; statistical analysis; DCN variations; DCV; DNA copy number variations; autism diagnosis; autistic children; copy number burden; developing children; statistical approach; unsupervised fuzzy k-means clustering analysis; Autism; Bioinformatics; Communication system control; DNA; Genomics; Gold; Hidden Markov models; Process control; Signal processing; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Control and Signal Processing (ISCCSP), 2010 4th International Symposium on

Conference_Location

Limassol

Print_ISBN

978-1-4244-6285-8

Type

conf

DOI

10.1109/ISCCSP.2010.5463374

Filename

5463374