Computational Stem Cell Biology : Methods and Protocols - Cahan, Patrick; SpringerLink (Online service) (New York, NY : Springer New York : Imprint: Humana, 2019)
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.
Keywords: Stem cells; Bioinformatics .; Computational biology .; Bioinformatics; Stem Cells; Computer Appl. in Life Sciences; Computational Biology/Bioinformatics.