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Simulated GWAS

Benchmarks

Task NameDataset NameSOTA ResultTrend
Feature SelectionSimulated GWAS 50,000 SNPs 25 Significant SNPs Low LD Sample size 50
True Positives15
3
Feature SelectionSimulated GWAS (50,000 SNPs, 25 Significant SNPs, Mixed LD, Sample size 50)
TP Count16
3
Feature SelectionSimulated GWAS 50,000 SNPs 25 Significant SNPs High LD (Sample size 50)
Correct Identifications Count19
3
Feature SelectionSimulated GWAS 50,000 SNPs 25 Significant SNPs Low LD Sample size 150
Correct Identifications25
3
Feature SelectionSimulated GWAS 50,000 SNPs 25 Significant SNPs Mixed LD Sample size 150
Correctly Identified SNPs24
3
Feature SelectionSimulated GWAS 50,000 SNPs 25 Significant SNPs High LD Sample size 150
True Positives25
3
Sparse regressionSimulated GWAS Low LD 50,000 SNPs, 25 significant SNPs (Sample size 100)
Correct Identifications Count233.07
3
Sparse regressionSimulated GWAS Mixed LD 50,000 SNPs, 25 significant SNPs (Sample size 100)
Correct Identifications242.03
3
Sparse regressionSimulated GWAS High LD 50,000 SNPs, 25 significant SNPs (Sample size 100)
True Positives251.52
3
Sparse regressionSimulated GWAS Low LD 50,000 SNPs, 25 significant SNPs (Sample size 1000)
True Positives Count250.51
3
Sparse regressionSimulated GWAS Mixed LD 50,000 SNPs, 25 significant SNPs (Sample size 1000)
Correct Identification Rate25,000
3
Sparse regressionSimulated GWAS High LD 50,000 SNPs, 25 significant SNPs (Sample size 1000)
True Positives Rate (TP Rate)25,000
3
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