Computational Stem Cell Biology

Agent-Based Modeling to Delineate Spatiotemporal Control Mechanisms of the Stem Cell Niche.- Modeling Cellular Differentiation and Reprogramming with Gene Regulatory Networks.- Cell Population Model to Track Stochastic Cellular Decision-Making during Differentiation.- Automated Formal Reasoning to Uncover Molecular Programs of Self-Renewal.- Mathematical Modeling of Clonal Stem Cell Dynamics.- Computational Tools for Quantifying Concordance in Single Cell Fate.- Quantitative Modeling of the Waddington Epigenetic Landscape.- Modeling Gene Networks to Understand Multistability in Stem Cells.- Trajectory Algorithms to Infer Stem Cell Fate Decisions.- Gene Regulatory Networks from Single Cell Data for Exploring Cell Fate Decisions.- Reconstructing Gene Regulatory Networks that Control Hematopoietic Commitment.- Investigating Cell Fate Decisions with ICGS Analysis of Single Cells.- Lineage Inference and Stem Cell Identity Prediction using Single Cell RNA-Sequencing Data.- Dynamic Network Modeling of Stem Cell Metabolism.- Metabolomics in Stem Cell Biology Research.- Molecular Interaction Networks to Select Factors for Cell Conversion.- A Computational Approach for Cell Fate Reprogramming.- Computational Analysis of Aneuploidy in Pluripotent Stem Cells.- Cell Fate Engineering Tools for iPSC Disease Modeling.