Osteogenesis Imperfecta (OI) is a genetic collagenous disease caused by mutations in one or both of the genes COLIA1 and COLIA2. There are at least four known phenotypes of OI, of which type II is the severest and often lethal. We applied a noise correction mechanism called polishing to a data set of amino acid sequences and associated information of point mutations of COLIA1. Polishing makes use of the inter-relationship between attribute and class values in the data set to identify and selectively correct components that are noisy. Preliminary results suggest that polishing is a viable mechanism for improving data quality, resulting in a more accurate classification of the lethal OI phenotype. © Springer-Verlag 2003.
CITATION STYLE
Teng, C. M. (2004). Noise correction in genomic data. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2690, 60–67. https://doi.org/10.1007/978-3-540-45080-1_8
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