1 code implementation • 22 Apr 2023 • Eric W. Jones, Joshua Derrick, Roger M. Nisbet, Will Ludington, David A. Sivak
In exponential population growth, variability in the timing of individual division events and environmental factors (including stochastic inoculation) compound to produce variable growth trajectories.
no code implementations • 23 Aug 2022 • Jialong Jiang, Sisi Chen, Tiffany Tsou, Christopher S. McGinnis, Tahmineh Khazaei, Qin Zhu, Jong H. Park, Paul Rivaud, Inna-Marie Strazhnik, Eric D. Chow, David A. Sivak, Zev J. Gartner, Matt Thomson
We develop a unified mathematical model that quantitatively describes the transcriptome scale response of myeloid and lymphoid cell types to individual drugs and drug combinations through a single inferred regulatory network.
1 code implementation • 25 Mar 2019 • Jialong Jiang, David A. Sivak, Matt Thomson
We apply the framework to the inference of spin network models and find that designed perturbations can reduce the sampling complexity by $10^6$-fold across a variety of network architectures.
no code implementations • 4 Oct 2018 • Steven Blaber, David A. Sivak
Cell-cell communication is often achieved by secreted signaling molecules that bind membrane-bound receptors.