Titlebook: Computational Stem Cell Biology; Methods and Protocol Patrick Cahan Book 2019 Springer Science+Business Media, LLC, part of Springer Nature

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Sustainable Tertiary Education in Asia profiles. Understanding this multistable behavior is key to rationally influencing stem cell differentiation for both research and therapeutic purposes. To this end, mathematical paradigms have been adopted to simulate and explain the dynamics of complex gene networks. In this chapter, we introduce

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Stephanie W. Lee,Samson C. W. Ma,Ngok Leetranscriptional state that occur as cells progress through development and adopt specialized cell fates. In this chapter we describe in detail how to use our network inference algorithm (PIDC)—and the associated software package NetworkInference.jl—to infer functional interactions between genes from

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André Matthes,Katja Beyer,Anton Schumannrn lineage commitment. Such cell states include multipotent progenitors that can manifest as mixed-lineage patterns of gene expression at a single-cell level. Multipotent and other self-renewing progenitors are often difficult to isolate and characterized by subtle transcriptional differences that a

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Cem Bağıran,Ayşegül Körlü,Saadet Yaparstanding questions in biology with an unprecedented resolution. Among the various applications of scRNA-seq, (1) discovery of novel rare cell types, (2) characterization of heterogeneity among the seemingly homogenous population of cells described by cell surface markers, (3) stem cell identificatio

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