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A review of feature selection methods for machine learning-based disease risk prediction
Machine learning has shown utility in detecting patterns within large, unstructured, and
complex datasets. One of the promising applications of machine learning is in precision …
complex datasets. One of the promising applications of machine learning is in precision …
Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data
In the past decade, significant progress has been made in complex disease research across
multiple omics layers from genome, transcriptome and proteome to metabolome. There is an …
multiple omics layers from genome, transcriptome and proteome to metabolome. There is an …
Second-generation PLINK: rising to the challenge of larger and richer datasets
Background PLINK 1 is a widely used open-source C/C++ toolset for genome-wide
association studies (GWAS) and research in population genetics. However, the steady …
association studies (GWAS) and research in population genetics. However, the steady …
A compressed variance component mixed model for detecting QTNs and QTN-by-environment and QTN-by-QTN interactions in genome-wide association studies
M Li, YW Zhang, ZC Zhang, Y ** of immune-related loci identifies new SLE risk variants in individuals with Asian ancestry
Systemic lupus erythematosus (SLE) has a strong but incompletely understood genetic
architecture. We conducted an association study with replication in 4,478 SLE cases and …
architecture. We conducted an association study with replication in 4,478 SLE cases and …