Cox-based MDR (CoxMDR) [37] U U U U U No No No

Cox-based MDR (CoxMDR) [37] U U U U U No No No No Yes D, Q, MV D D D D No Yes Yes Yes NoMultivariate GMDR (MVGMDR) [38] Robust MDR (RMDR) [39]Blood stress [38] Bladder cancer [39] Alzheimer’s disease [40] Chronic Fatigue Syndrome [41]Log-linear-based MDR (LM-MDR) [40] Odds-ratio-based MDR (OR-MDR) [41] Optimal MDR (Opt-MDR) [42] U NoMDR for Stratified Populations (MDR-SP) [43] UDNoPair-wise MDR (PW-MDR) [44]Simultaneous handling of families and unrelateds Transformation of survival time into dichotomous attribute using martingale residuals Multivariate modeling employing generalized estimating equations Handling of sparse/empty cells using `unknown risk’ class Improved factor mixture by log-linear models and re-classification of danger OR alternatively of naive Bayes classifier to ?classify its danger Information driven as an alternative of fixed threshold; Pvalues approximated by generalized EVD as an alternative of permutation test Accounting for population stratification by utilizing principal components; significance estimation by generalized EVD Handling of sparse/empty cells by decreasing contingency tables to all doable two-dimensional interactions No D U No DYesKidney transplant [44]NoEvaluation on the classification outcome Extended MDR (EMDR) Evaluation of final model by v2 statistic; [45] consideration of various permutation strategies Unique phenotypes or information structures Survival Dimensionality Classification according to variations beReduction (SDR) [46] tween cell and complete population survival estimates; IBS to evaluate modelsUNoSNoRheumatoid arthritis [46]continuedTable 1. (Continued) Data structure Cov Pheno Smaller sample sizesa No No ApplicationsNameDescriptionU U No QNoSBladder cancer [47] Renal and Vascular EndStage Disease [48] Obesity [49]Survival MDR (Surv-MDR) a0023781 [47] Quantitative MDR (QMDR) [48] U No O NoOrdinal MDR (Ord-MDR) [49] F No DLog-rank test to classify cells; squared log-rank statistic to evaluate models dar.12324 Handling of quantitative phenotypes by comparing cell with general imply; t-test to evaluate models Handling of phenotypes with >2 classes by assigning each and every cell to probably phenotypic class Handling of extended pedigrees using pedigree disequilibrium test No F No D NoAlzheimer’s disease [50]MDR with Pedigree Disequilibrium Test (MDR-PDT) [50] MDR with Phenomic Analysis (MDRPhenomics) [51]Autism [51]Aggregated MDR (A-MDR) [52]UNoDNoJuvenile idiopathic arthritis [52]Model-based MDR (MBMDR) [53]Handling of trios by comparing variety of times genotype is transmitted versus not transmitted to affected kid; evaluation of variance model to assesses impact of Pc Defining important models utilizing threshold maximizing area beneath ROC curve; aggregated danger score according to all important models Test of every cell versus all other individuals working with association test statistic; association test statistic comparing pooled highrisk and pooled low-risk cells to evaluate models U NoD, Q, SNoBladder cancer [53, 54], Crohn’s GSK429286A Illness [55, 56], blood pressure [57]Cov ?Covariate adjustment attainable, Pheno ?Possible phenotypes with D ?Dichotomous, Q ?Quantitative, S ?Survival, MV ?Multivariate, O ?Ordinal.Data structures: F ?Loved ones primarily based, U ?Unrelated samples.A roadmap to multifactor dimensionality reduction methodsaBasically, MDR-based methods are created for compact sample sizes, but some EZH2 inhibitor web approaches provide unique approaches to take care of sparse or empty cells, normally arising when analyzing quite tiny sample sizes.||Gola et al.Table two. Implementations of MDR-based approaches Metho.Cox-based MDR (CoxMDR) [37] U U U U U No No No No Yes D, Q, MV D D D D No Yes Yes Yes NoMultivariate GMDR (MVGMDR) [38] Robust MDR (RMDR) [39]Blood stress [38] Bladder cancer [39] Alzheimer’s illness [40] Chronic Fatigue Syndrome [41]Log-linear-based MDR (LM-MDR) [40] Odds-ratio-based MDR (OR-MDR) [41] Optimal MDR (Opt-MDR) [42] U NoMDR for Stratified Populations (MDR-SP) [43] UDNoPair-wise MDR (PW-MDR) [44]Simultaneous handling of households and unrelateds Transformation of survival time into dichotomous attribute working with martingale residuals Multivariate modeling employing generalized estimating equations Handling of sparse/empty cells applying `unknown risk’ class Enhanced factor combination by log-linear models and re-classification of threat OR as an alternative of naive Bayes classifier to ?classify its threat Information driven as an alternative of fixed threshold; Pvalues approximated by generalized EVD alternatively of permutation test Accounting for population stratification by using principal elements; significance estimation by generalized EVD Handling of sparse/empty cells by lowering contingency tables to all achievable two-dimensional interactions No D U No DYesKidney transplant [44]NoEvaluation in the classification outcome Extended MDR (EMDR) Evaluation of final model by v2 statistic; [45] consideration of different permutation methods Distinctive phenotypes or data structures Survival Dimensionality Classification determined by differences beReduction (SDR) [46] tween cell and complete population survival estimates; IBS to evaluate modelsUNoSNoRheumatoid arthritis [46]continuedTable 1. (Continued) Information structure Cov Pheno Smaller sample sizesa No No ApplicationsNameDescriptionU U No QNoSBladder cancer [47] Renal and Vascular EndStage Illness [48] Obesity [49]Survival MDR (Surv-MDR) a0023781 [47] Quantitative MDR (QMDR) [48] U No O NoOrdinal MDR (Ord-MDR) [49] F No DLog-rank test to classify cells; squared log-rank statistic to evaluate models dar.12324 Handling of quantitative phenotypes by comparing cell with general imply; t-test to evaluate models Handling of phenotypes with >2 classes by assigning every single cell to most likely phenotypic class Handling of extended pedigrees applying pedigree disequilibrium test No F No D NoAlzheimer’s disease [50]MDR with Pedigree Disequilibrium Test (MDR-PDT) [50] MDR with Phenomic Analysis (MDRPhenomics) [51]Autism [51]Aggregated MDR (A-MDR) [52]UNoDNoJuvenile idiopathic arthritis [52]Model-based MDR (MBMDR) [53]Handling of trios by comparing number of occasions genotype is transmitted versus not transmitted to impacted youngster; analysis of variance model to assesses effect of Pc Defining important models making use of threshold maximizing area below ROC curve; aggregated threat score based on all substantial models Test of each and every cell versus all other people using association test statistic; association test statistic comparing pooled highrisk and pooled low-risk cells to evaluate models U NoD, Q, SNoBladder cancer [53, 54], Crohn’s illness [55, 56], blood stress [57]Cov ?Covariate adjustment probable, Pheno ?Possible phenotypes with D ?Dichotomous, Q ?Quantitative, S ?Survival, MV ?Multivariate, O ?Ordinal.Information structures: F ?Loved ones primarily based, U ?Unrelated samples.A roadmap to multifactor dimensionality reduction methodsaBasically, MDR-based techniques are made for modest sample sizes, but some solutions deliver specific approaches to take care of sparse or empty cells, usually arising when analyzing pretty tiny sample sizes.||Gola et al.Table 2. Implementations of MDR-based methods Metho.