2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics.
Tong A, Huang J, Wolf G, van Dijk D, Krishnaswamy S. TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics. Proceedings Of Machine Learning Research 2020, 119: 9526-9536. PMID: 34337419, PMCID: PMC8320749.Peer-Reviewed Original ResearchOptimal transportNormalizing FlowsOptimal transport networksContinuous dynamicsTarget distributionTransport-based modelContinuous pathPaths of pointsArbitrary pathTransport networkSingle-cell RNA sequencing technologyDynamicsIndividual trajectoriesCellular dynamicsFlowPathDistributionNon-linear pathPairwise matchingPointTrajectoriesDynamic process
2018
Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
van Dijk D, Sharma R, Nainys J, Yim K, Kathail P, Carr AJ, Burdziak C, Moon KR, Chaffer CL, Pattabiraman D, Bierie B, Mazutis L, Wolf G, Krishnaswamy S, Pe’er D. Recovering Gene Interactions from Single-Cell Data Using Data Diffusion. Cell 2018, 174: 716-729.e27. PMID: 29961576, PMCID: PMC6771278, DOI: 10.1016/j.cell.2018.05.061.Peer-Reviewed Original ResearchManifold learning-based methods for analyzing single-cell RNA-sequencing data
Moon K, Stanley J, Burkhardt D, van Dijk D, Wolf G, Krishnaswamy S. Manifold learning-based methods for analyzing single-cell RNA-sequencing data. Current Opinion In Systems Biology 2018, 7: 36-46. DOI: 10.1016/j.coisb.2017.12.008.Peer-Reviewed Original ResearchSingle-cell RNA-sequencing dataSingle-cell RNA sequencing technologyRNA sequencing technologyRNA-sequencing dataThousands of cellsGene regulationCellular statesPhenotypic diversityCellular developmentGene interactionsSequencing technologiesGene expressionSeq dataUnderlying biological signalManifold learning-based methodsSingle experimentBiological signalsRecent advancesDiversityDeeper insightRegulationExpression