2023
iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects
Liu Y, Zhao J, Adams T, Wang N, Schupp J, Wu W, McDonough J, Chupp G, Kaminski N, Wang Z, Yan X. iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects. BMC Bioinformatics 2023, 24: 318. PMID: 37608264, PMCID: PMC10463720, DOI: 10.1186/s12859-023-05432-8.Peer-Reviewed Original Research
2004
A statistical model for functional mapping of quantitative trait loci regulating drug response
Gong Y, Wang Z, Liu T, Zhao W, Zhu Y, Johnson J, Wu R. A statistical model for functional mapping of quantitative trait loci regulating drug response. The Pharmacogenomics Journal 2004, 4: 315-321. PMID: 15263889, DOI: 10.1038/sj.tpj.6500262.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsChromosome MappingGene FrequencyModels, StatisticalPharmaceutical PreparationsQuantitative Trait LociConceptsQuantitative trait lociComplex traitsGenetic mappingTrait lociDifferent QTL genotypesPopulation genetic parametersFunction-valued traitsDrug responseMultiple genesSpecific genesHigh-resolution mappingRecombination eventsQTL genotypesDisequilibrium mappingPolymorphic markersGenetic parametersFunctional mappingTraitsGenesLociPharmacogenomics researchEnvironmental influencesPowerful toolHistoric times