Featured Publications
SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data
Liu Y, Li N, Qi J, Xu G, Zhao J, Wang N, Huang X, Jiang W, Wei H, Justet A, Adams T, Homer R, Amei A, Rosas I, Kaminski N, Wang Z, Yan X. SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data. Genome Biology 2024, 25: 271. PMID: 39402626, PMCID: PMC11475911, DOI: 10.1186/s13059-024-03416-2.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsGene Expression ProfilingHumansMachine LearningRegression AnalysisRNA-SeqSequence Analysis, RNASingle-Cell AnalysisSoftwareTranscriptome
2011
Dealing with high dimensionality for the identification of common and rare variants as main effects and for gene‐environment interaction
Bickeböller H, Houwing‐Duistermaat J, Wang X, Yan X. Dealing with high dimensionality for the identification of common and rare variants as main effects and for gene‐environment interaction. Genetic Epidemiology 2011, 35: s35-s40. PMID: 22128056, DOI: 10.1002/gepi.20647.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremExomeGene-Environment InteractionHumansModels, GeneticMolecular EpidemiologyRegression AnalysisSequence Analysis