850 citations · 1.9k across the 15 of their papers we have counts for
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Modeling multi-particle complexes in stochastic chemical systems
Muir J. Morrison, Justin B. Kinney
Large complexes of classical particles play central roles in biology, in polymer physics, and in other disciplines. However, physics currently lacks mathematical methods for descri…
Measuring the sequence-affinity landscape of antibodies with massively parallel titration curves
Rhys M. Adams, Thierry Mora, Aleksandra M. Walczak +1
Despite the central role that antibodies play in the adaptive immune system and in biotechnology, much remains unknown about the quantitative relationship between an antibody's ami…
Learning quantitative sequence-function relationships from massively parallel experiments
Gurinder S. Atwal, Justin B. Kinney
A fundamental aspect of biological information processing is the ubiquity of sequence-function relationships -- functions that map the sequence of DNA, RNA, or protein to a biochem…
Equitability, mutual information, and the maximal information coefficient
Justin B. Kinney, Gurinder S. Atwal
Reshef et al. recently proposed a new statistical measure, the "maximal information coefficient" (MIC), for quantifying arbitrary dependencies between pairs of stochastic quantitie…
Parametric inference in the large data limit using maximally informative models
Justin B. Kinney, Gurinder S. Atwal
Motivated by data-rich experiments in transcriptional regulation and sensory neuroscience, we consider the following general problem in statistical inference. When exposed to a hig…