Jun 15, 2014 · In this study, we applied an association rule mining approach to the identification of promising secondary phenotype candidates.
Applying an association rule mining approach, we could identify 1967 secondary phenotype hypotheses that cover 244 genes and 136 phenotypes. Using two automated ...
To this end, in this manuscript we propose an efficient machine learning technique—distributional associational rule mining (ARM)—for semi-automatic modeling of ...
Missing: promising | Show results with:promising
結論 · Predicted secondary phenotypes improve the biological coherence of the clusters. · Secondary phenotypes improve the predictability of causative disease ...
Using association rule mining to determine promising secondary phenotyping hypotheses. The International Mouse Phenotyping Consortium (IMPC) systematically ...
association rule mining, we were able to identify 188 rules (provided in Supplementary Material S1) that lead to secondary phenotype hypotheses for 244 Sanger- ...
Oct 16, 2023 · In this paper, we develop a stochastic search method to mine the genotype-phenotype associations from GWAS data.
Missing: promising secondary
Oct 22, 2024 · We propose a clear definition for characteristic phenotypes, we experiment with a novel, class association rule mining algorithm and we discuss ...
Using association rule mining to determine promising secondary phenotyping hypotheses. S-EPMC4059059; The origins, evolution, and functional potential of ...
Using association rule mining to determine promising secondary phenotyping hypotheses. June 15, 2014. [ MEDLINE Abstract ]. Automated detection and tracking ...