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A drift-diffusion checkpoint model predicts a highly variable and growth-factor-sensitive portion of the cell cycle G1 phase.
Jones ZW, Leander R, Quaranta V, Harris LA, Tyson DR. Jones ZW, et al. Among authors: quaranta v. PLoS One. 2018 Feb 12;13(2):e0192087. doi: 10.1371/journal.pone.0192087. eCollection 2018. PLoS One. 2018. PMID: 29432467 Free PMC article.
Previously, we developed a top-down, stochastic drift-diffusion+threshold (DDT) model of a cell cycle checkpoint and showed that it can accurately describe experimentally-derived IMT distributions [Leander R, Allen EJ, Garbett SP, Tyson DR, Quaranta V. Derivation an …
Previously, we developed a top-down, stochastic drift-diffusion+threshold (DDT) model of a cell cycle checkpoint and showed that it can accu …
335 results