Computational Stem Cell Biology

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