Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization
Published: May 1, 2017
Abstract
In this work we explore the relevance of markers that are used for the early detection of fetal chromosomal abnormalities. For medical applications, it is important to optimize the number of used markers with respect to the number of necessary clinical examinations. We use the Generalized Matrix Learning Vector Quantization (GMLVQ) method to identify the most relevant markers from a set of 18 clinical examinations. We cross-validated our results...
Paper Details
Title
Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization
Published Date
May 1, 2017
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