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A novel gene mapping algorithm based on independent component analysis

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4 Author(s)
Dawy, Z. ; Inst. for Commun. Eng., Munich Univ. of Technol., Germany ; Sarkis, M. ; Hagenauer, J. ; Mueller, J.C.

Identifying the causal genetic markers responsible for complex diseases is a main aim in human genetics. In the context of complex diseases, which are believed to have multiple causal loci of largely unknown effect and position, there is a need to develop advanced methods for gene mapping. In this work, we propose a novel algorithm based on independent component analysis for gene mapping. To apply the algorithm, we model the intra-cellular interactions as a mixing process of multiple sources. Results prove the superiority of the proposed algorithm over conventional statistical based methods, and demonstrate yet another successful application of a well known signal processing technique to an important problem in the field of human genetics.

Published in:

Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on  (Volume:5 )

Date of Conference:

18-23 March 2005