Results 221 to 230 of about 1,851,663 (252)
CTAS: a network control theory-based approach to identify key regulatory TFs of AS events during epithelial-mesenchymal transition. [PDF]
Gan Y, He Y, Zhao P, Ching WK, Qiu Y.
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A biomimetic branching signal-passing tile assembly model with dynamic growth and disassembly. [PDF]
Fu D, Reif J.
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A semi-supervised Bayesian approach for marker gene trajectory inference from single-cell RNA-seq data. [PDF]
Wang J, Sun L, Wei N, Huang Y, Zhang N.
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TimeFlow 2: an unsupervised cell lineage detection method for flow cytometry data
Liarou M, Matthes T, Marchand-Maillet S.
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Stochasticity, invasions, and branching random walks
Theoretical Population Biology, 2004We link deterministic integrodifference equations to stochastic, individual-based simulations by means of branching random walks. Using standard methods, we determine speeds of invasion for both average densities and furthest-forward individuals.
Jan Medlock, Mark Kot
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Branching random walks in random environment
We consider branching particle processes on discrete structures like the hypercube in a random fitness landscape (i.e. random branching/killing rates). The main question is about the location where the main part of the population sits at a late time, if the state space is large. For answering this, we take the expectation with respect to the migration (
Wolfgang König, König, Wolfgang
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Simplicial branching random walks
Journal of Applied and Computational Topology, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Branching Random Walks with Immigration
2017The paper contains several results on the existence of limits for the first two moments of the popular model in the population dynamics: continuous-time branching random walks on the multidimensional lattice \(\mathbb Z^d\), \(d\ge 1\), with immigration and infinite number of initial particles.
Dan Han +3 more
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Branching random walk with a critical branching part
Journal of Theoretical Probability, 1995Let \(M_n\) be the maximal displacement of a branching random walk, where the offspring distribution has finite variance and mean 1 and the increments of the random walk have \((4 + \varepsilon)\)-th finite moment and mean zero. Let \(\beta>0\). The main result is that \(n^{-1/2}M_n\) conditioned on nonextinction till time \(n \beta\) of the branching ...
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