Analysis of Schizophrenia Data Using A Nonlinear Threshold Index Logistic Model
Genetic information, such as single nucleotide polymorphism (SNP) data, has been widely recognized as useful in prediction of disease risk. However, how to model the genetic data that is often categorical in disease class prediction is complex and challenging. In this paper, we propose a novel class...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
PLOS
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/4219 |