GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures
about
FHSA-SED: Two-Locus Model Detection for Genome-Wide Association Study with Harmony Search AlgorithmGrid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseasesWeighted risk score-based multifactor dimensionality reduction to detect gene-gene interactions in nasopharyngeal carcinomaMining pure, strict epistatic interactions from high-dimensional datasets: ameliorating the curse of dimensionality.ExSTraCS 2.0: Description and Evaluation of a Scalable Learning Classifier System.Bayesian neural networks for detecting epistasis in genetic association studiesGenetic simulation tools for post-genome wide association studies of complex diseasesA Multi-Core Parallelization Strategy for Statistical Significance Testing in Learning Classifier Systems.An efficiency analysis of high-order combinations of gene-gene interactions using multifactor-dimensionality reduction.Discovering causal interactions using Bayesian network scoring and information gain.gammaMAXT: a fast multiple-testing correction algorithm.Detecting gene-gene interactions using a permutation-based random forest methodAn information-gain approach to detecting three-way epistatic interactions in genetic association studies.Prioritizing tests of epistasis through hierarchical representation of genomic redundancies.CMDR based differential evolution identifies the epistatic interaction in genome-wide association studies.Functional networks inference from rule-based machine learning models.Niche harmony search algorithm for detecting complex disease associated high-order SNP combinations.A Comparative Study on Multifactor Dimensionality Reduction Methods for Detecting Gene-Gene Interactions with the Survival Phenotype.Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection.A classification and characterization of two-locus, pure, strict, epistatic models for simulation and detection.Multiobjective differential evolution-based multifactor dimensionality reduction for detecting gene-gene interactions.A fast and exhaustive method for heterogeneity and epistasis analysis based on multi-objective optimization.Heuristic identification of biological architectures for simulating complex hierarchical genetic interactions.Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach.A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods.PMLB: a large benchmark suite for machine learning evaluation and comparison.A Powerful Gene-Based Test Accommodating Common and Low-Frequency Variants to Detect Both Main Effects and Gene-Gene Interaction Effects in Case-Control Studies.Heterogeneity Analysis and Diagnosis of Complex Diseases Based on Deep Learning Method.Collective feature selection to identify crucial epistatic variants.The search for gene-gene interactions in genome-wide association studies: challenges in abundance of methods, practical considerations, and biological interpretation.Improving machine learning reproducibility in genetic association studies with proportional instance cross validation (PICV).Continuous Endpoint Data Mining with ExSTraCSEvaluation of a Tree-based Pipeline Optimization Tool for Automating Data ScienceRetooling Fitness for Noisy Problems in a Supervised Michigan-style Learning Classifier SystemThe Role of Genetic Interactions in Neurodevelopmental DisordersFDHE-IW: A Fast Approach for Detecting High-Order Epistasis in Genome-Wide Case-Control Studies
P2860
Q28601894-4BFDB3EB-D6F1-4E97-82DC-50E969221C77Q33743754-A8398134-9A39-4578-8720-508129F4201AQ33907852-7D6FD146-B636-40BF-BDB7-65E8645D1152Q34447454-52598234-5763-491F-ACA4-216EC85216B9Q34496167-B1356A9E-B968-4AE0-B76C-7FFDFDF07506Q34637032-C880932B-DA90-4D6A-84A1-925B80226629Q34734512-ECFE0630-330C-4DB5-8A7A-7E0A0C35FDB1Q35072467-D3EF02A4-6A59-4DDA-891F-D0A45E5CF4E6Q35679069-E36A5FAC-A4E5-4061-BD6C-F39EF9DB5D1DQ36031435-8B064FE5-EE1C-4030-AEA4-12EC0F943690Q36304247-19C9E3DE-463C-425F-83E0-AB0336249F83Q36769521-5E39DB0E-AC56-4521-8A50-AA0CD4D39FA9Q37039893-3ED365E9-78B3-467B-B7D3-4B944E0DE3B1Q38729879-E26F5554-F018-46E5-83EE-D5CFD23026DEQ38853293-D46F3A88-E9EF-404E-B6FF-EFE22ADD3C90Q39420364-D544B6A0-A030-45F1-8A80-2315334BB539Q41049720-5EEDE27A-1105-4985-88EF-4339C92536A6Q41810878-EE109681-C228-4862-90B4-0EC2EC743256Q42025008-59D8B758-9165-402A-B5F9-30FC9B860234Q42144643-B387E4BF-1EB5-4AB7-8AD2-58D8201E7BDEQ42373934-3350CBA3-13B2-4222-8527-5FAD36E633F7Q42699337-2E4157DE-A23F-4AAB-A320-65FF2EC7614BQ43071614-A4462666-9E80-4C8E-9849-BFB2D3992E09Q43077589-177AE3BB-1A02-45D4-8D42-929FEDAB43EDQ45943177-9B4AC1E9-B9FA-4AF7-8FF8-2C30C27BCB99Q47101081-E77EF2CF-0535-457A-9F48-0BE29B24FA6FQ49184072-0E2F865C-1650-4989-82C2-323BCA5F748AQ52316573-D386864C-391B-464C-8FE2-4061A7691857Q53070109-36021E35-62BF-4B17-B0D4-852F0DFB2796Q55015170-CE16C83E-5C97-443E-BD71-846E6F47992FQ55266032-3EC63A5E-F8CD-400C-BAD1-904EDA395C33Q56442531-EC1413BD-8F62-4EC2-AD07-1017D495FAD8Q56610117-8C04C059-3E8D-4322-9C39-31E52FD84483Q57420970-8A091399-FA36-4AE5-ACBD-C61300D5ED22Q57420974-C0E13139-159A-4002-998A-F6257B45CCF1Q58692908-35DE8516-87F6-403D-BA58-85D7989C68A6
P2860
GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures
description
2012 nî lūn-bûn
@nan
2012 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
GAMETES: a fast, direct algori ...... dels with random architectures
@ast
GAMETES: a fast, direct algori ...... dels with random architectures
@en
GAMETES: a fast, direct algori ...... dels with random architectures
@nl
type
label
GAMETES: a fast, direct algori ...... dels with random architectures
@ast
GAMETES: a fast, direct algori ...... dels with random architectures
@en
GAMETES: a fast, direct algori ...... dels with random architectures
@nl
prefLabel
GAMETES: a fast, direct algori ...... dels with random architectures
@ast
GAMETES: a fast, direct algori ...... dels with random architectures
@en
GAMETES: a fast, direct algori ...... dels with random architectures
@nl
P2093
P2860
P356
P1433
P1476
GAMETES: a fast, direct algori ...... dels with random architectures
@en
P2093
Jeff Kiralis
Jonathan M Fisher
Nicholas A Sinnott-Armstrong
Ryan J Urbanowicz
Tamra Heberling
P2860
P2888
P356
10.1186/1756-0381-5-16
P577
2012-10-01T00:00:00Z
P5875
P6179
1012458241