| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1037390200 |
| P356 | DOI | 10.1038/EJHG.2010.48 |
| P2888 | exact match | https://scigraph.springernature.com/pub.10.1038/ejhg.2010.48 |
| P932 | PMC publication ID | 2987456 |
| P698 | PubMed publication ID | 20461113 |
| P5875 | ResearchGate publication ID | 44590822 |
| P50 | author | Francesc Castro-giner | Q42824523 |
| Kristel Van Steen | Q55094104 | ||
| Manolis Kogevinas | Q28320569 | ||
| Guy Baele | Q29397325 | ||
| P2093 | author name string | Pierre Geurts | |
| Lizzy De Lobel | |||
| P2860 | cites work | A computationally efficient hypothesis testing method for epistasis analysis using multifactor dimensionality reduction | Q34803162 |
| The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases | Q35582337 | ||
| Time to draw breath: asthma-susceptibility genes are identified | Q35773264 | ||
| Neuropeptide S and G protein-coupled receptor 154 modulate macrophage immune responses | Q40294852 | ||
| Exploring the performance of Multifactor Dimensionality Reduction in large scale SNP studies and in the presence of genetic heterogeneity among epistatic disease models | Q41972953 | ||
| The protective effect of farm animal exposure on childhood allergy is modified by NPSR1 polymorphisms | Q44093576 | ||
| TNFA -308G>A in two international population-based cohorts and risk of asthma. | Q46667277 | ||
| Accounting for variability in the use of permutation testing to detect quantitative trait loci. | Q47592349 | ||
| Genome-wide strategies for detecting multiple loci that influence complex diseases. | Q53624440 | ||
| Identifying SNPs predictive of phenotype using random forests | Q57363161 | ||
| Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests | Q22673963 | ||
| Cloning and characterization of dipeptidyl peptidase 10, a new member of an emerging subgroup of serine proteases | Q24298613 | ||
| Expression and function of NPSR1/GPRA in the lung before and after induction of asthma-like disease | Q28251020 | ||
| Characterization of a common susceptibility locus for asthma-related traits | Q28255640 | ||
| Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity | Q33185819 | ||
| Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer | Q33951229 | ||
| Positional cloning of a novel gene influencing asthma from chromosome 2q14. | Q34270888 | ||
| A testing framework for identifying susceptibility genes in the presence of epistasis | Q34398730 | ||
| P433 | issue | 10 | |
| P921 | main subject | random forest | Q245748 |
| P304 | page(s) | 1127-1132 | |
| P577 | publication date | 2010-05-12 | |
| P1433 | published in | European Journal of Human Genetics | Q2155433 |
| P1476 | title | A screening methodology based on Random Forests to improve the detection of gene-gene interactions | |
| P478 | volume | 18 |
| Q34482182 | A roadmap to multifactor dimensionality reduction methods |
| Q34269179 | A two-stage random forest-based pathway analysis method |
| Q36561182 | Application of a spatially-weighted Relief algorithm for ranking genetic predictors of disease |
| Q34113547 | Comparison of strategies to detect epistasis from eQTL data |
| Q34333936 | Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle? |
| Q38247072 | Detecting epistasis in human complex traits |
| Q49622066 | Discovery of cell-type specific DNA motif grammar in cis-regulatory elements using random Forest. |
| Q38179251 | Epistatic effects of multiple receptor genes on pathophysiology of asthma - its limits and potential for clinical application |
| Q38102667 | Explaining microbial phenotypes on a genomic scale: GWAS for microbes |
| Q35138479 | Exploiting SNP correlations within random forest for genome-wide association studies |
| Q34342451 | Genetic polymorphisms and associated susceptibility to asthma |
| Q37685365 | Genotypes Associated with Listeria monocytogenes Isolates Displaying Impaired or Enhanced Tolerances to Cold, Salt, Acid, or Desiccation Stress |
| Q40095911 | Identification of immune correlates of protection in Shigella infection by application of machine learning |
| Q26861541 | Integrative systems biology approaches in asthma pharmacogenomics |
| Q55428338 | Machine Learning and Radiogenomics: Lessons Learned and Future Directions. |
| Q35158129 | Random forests for genetic association studies. |
| Q34252126 | Random forests for genomic data analysis |
| Q35101681 | Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes |
| Q35627374 | TRM: a powerful two-stage machine learning approach for identifying SNP-SNP interactions |
| Q27003480 | Towards the identification of the loci of adaptive evolution |
| Q36672545 | Trees Assembling Mann-Whitney approach for detecting genome-wide joint association among low-marginal-effect loci |
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