Willows: a memory efficient tree and forest construction package
Zhang H, Wang M, Chen X. Willows: a memory efficient tree and forest construction package. BMC Bioinformatics 2009, 10: 130. PMID: 19416535, PMCID: PMC2683818, DOI: 10.1186/1471-2105-10-130.Peer-Reviewed Original ResearchConceptsMassive genotype dataUser-friendly interfaceExcessive memory demandsHigh-dimensional dataNew software packageGenomic dataFriendly interfaceUse of memoryDimensional dataMassive amountsRandom forestPartitioning techniquesHigh-throughput genomic dataPowerful bioinformatics toolsEfficient treeComputer memorySoftware packageMassive sizeForest methodMemory demandsConstruction packagesSingle nucleotide polymorphismsBioinformatics toolsSNP dataGenotyping platformsMachine learning in genome‐wide association studies
Szymczak S, Biernacka JM, Cordell HJ, González‐Recio O, König IR, Zhang H, Sun YV. Machine learning in genome‐wide association studies. Genetic Epidemiology 2009, 33: s51-s57. PMID: 19924717, DOI: 10.1002/gepi.20473.Peer-Reviewed Original ResearchConceptsGenome-wide SNP dataSingle nucleotide polymorphismsSNP dataAssociation studiesGenome-wide association studiesOverall genetic architectureMachine learning approachesGenetic Analysis Workshop 16Wide association studyComplex human diseasesMain genetic effectsGenetic architectureLearning approachGenetic risk variantsEnsemble methodHuman diseasesGenetic effectsRisk variantsGenetic variantsComplex diseasesMachineNew variable selection procedureNetwork analysisVariable selection procedureDifferent approaches