Title | ||
---|---|---|
Fast and parallelized greedy forward selection of genetic variants in Genome-wide association studies. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/GENSiPS.2011.6169483 | GENSiPS |
Keywords | Field | DocType |
genetics,snp,predictive models,machine learning,prediction model,bioinformatics,learning artificial intelligence,genome wide association,single nucleotide polymorphism,feature selection,multi core processor,parallel computer,genomics,greedy algorithms,genome wide association study,gwas | Data mining,Feature selection,Computer science,Regularized least squares,Genome-wide association study,Greedy algorithm,Genomics,Artificial intelligence,Bioinformatics,Forward selection,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sebastian Okser | 1 | 12 | 1.70 |
Tapio Pahikkala | 2 | 1005 | 70.68 |
Antti Airola | 3 | 763 | 39.79 |
Tero Aittokallio | 4 | 500 | 34.92 |
Tapio Salakoski | 5 | 1513 | 106.70 |