Sep 12, 2017 · In this paper, we propose an ELM-based statistically significant pattern classification framework, which combines ELM with feature vector-based ...
1) A statistically significant pattern considering both family wise error rate (FWER) and false discovery rate (FDR) is proposed as feature to control false ...
ELM-Based Large-Scale Genetic Association Study via Statistically ...
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An ELM-based statistically significant pattern classification framework is proposed, which combines ELM with feature vector-based methods to solve the GAS ...
In this paper, we propose an ELM-based statistically significant pattern classification framework, which combines ELM with feature vector-based methods to solve ...
In this paper, we propose an ELM-based statistically significant pattern classification framework, which combines ELM with feature vector-based methods to solve ...
Bibliographic details on ELM-Based Large-Scale Genetic Association Study via Statistically Significant Pattern.
Genetic association study (GAS) is a promising tool for detecting and analyzing the cause of complex diseases. The extreme learning machine (ELM) has been ...
Genetic simulation programs are used to model data under specified assumptions to facilitate the understanding and study of complex genetic systems.
In most current, large-scale genetic association studies, data are collected as unphased multilocus genotypes (that is, which alleles are aligned together ...
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Elm-based large-scale genetic association study via statistically significant pattern. Trans Syst, IEEE, Man, and Cybernet: Syst. 2017; PP(99):1–14.