2014
A spatial simulation approach to account for protein structure when identifying non-random somatic mutations
Ryslik GA, Cheng Y, Cheung KH, Bjornson RD, Zelterman D, Modis Y, Zhao H. A spatial simulation approach to account for protein structure when identifying non-random somatic mutations. BMC Bioinformatics 2014, 15: 231. PMID: 24990767, PMCID: PMC4227039, DOI: 10.1186/1471-2105-15-231.Peer-Reviewed Original Research
2011
Power of Data Mining Methods to Detect Genetic Associations and Interactions
Molinaro AM, Carriero N, Bjornson R, Hartge P, Rothman N, Chatterjee N. Power of Data Mining Methods to Detect Genetic Associations and Interactions. Human Heredity 2011, 72: 85-97. PMID: 21934324, PMCID: PMC3222116, DOI: 10.1159/000330579.Peer-Reviewed Original ResearchConceptsMonte Carlo logic regressionRandom forestVariable importance measuresRF variable importance measuresData mining methodsComplex variable interactionsMining methodsTree-based methodsDimensionality reductionPrediction modelSuch methodsImportance measuresLogic regressionSimulation modelMultifactor dimensionality reductionData analysisVariable interactionsAlgorithmSimulation study
2009
RigidFinder: A fast and sensitive method to detect rigid blocks in large macromolecular complexes
Abyzov A, Bjornson R, Felipe M, Gerstein M. RigidFinder: A fast and sensitive method to detect rigid blocks in large macromolecular complexes. Proteins Structure Function And Bioinformatics 2009, 78: 309-324. PMID: 19705487, DOI: 10.1002/prot.22544.Peer-Reviewed Original ResearchConceptsLarge macromolecular complexesMacromolecular complexesLarge-scale conformational changesRNA polymerase IIT7 RNA polymeraseMultiple polypeptide chainsPolymerase IIRNA polymeraseDistance conservationPhosphate dikinaseDifferent conformationsInter-residue distancesLarge complexesConformational changesPolypeptide chainDomain motionPartial refoldingFurther distinguishing featureConformationStructure determinationComplexesDikinaseSensitive identificationGroELIdentification