201 citations · 738 across the 16 of their papers we have counts for
16 papers
The one-message-per-cell-cycle rule: A conserved minimum transcription level for essential genes
Teresa W. Lo, Han Kyou James Choi, Dean Huang +1
The inherent stochasticity of cellular processes leads to significant cell-to-cell variation in protein abundance. Although this noise has already been characterized and modeled, i…
The high-resolution in vivo measurement of replication fork velocity and pausing by lag-time analysis
Dean Huang, Anna E. Johnson, Brandon S. Sim +3
An important step towards understanding the mechanistic basis of the central dogma is the quantitative characterization of the dynamics of nucleic-acid-bound molecular motors in th…
Characterizing stochastic cell cycle dynamics in exponential growth
Dean Huang, Teresa Lo, Houra Merrikh +1
Two powerful and complementary experimental approaches are commonly used to study the cell cycle and cell biology: One class of experiments characterizes the statistics (or demogra…
On the correspondence between thermodynamics and inference
Colin H. LaMont, Paul A. Wiggins
We expand upon a natural analogy between Bayesian statistics and statistical physics in which sample size corresponds to inverse temperature. This analogy motivates the definition…
The Lindley paradox: The loss of resolution in Bayesian inference
Colin H. LaMont, Paul A. Wiggins
There are three principle paradigms of statistics: Bayesian, frequentist and information-based inference. Although these paradigms are in agreement in some contexts, the Lindley pa…
An objective prior that unifies objective Bayes and information-based inference
Colin H. LaMont, Paul A. Wiggins
There are three principle paradigms of statistical inference: (i) Bayesian, (ii) information-based and (iii) frequentist inference. We describe an objective prior (the weighting or…