activity
20152021
most citedLogic and connectivity jointly determine criticality in biological gene regulatory networks

126 citations · 210 across the 5 of their papers we have counts for

collaborators

6 papers

astro-ph.EP2021★ 6 cited

Inferring Exoplanet Disequilibria with Multivariate Information in Atmospheric Reaction Networks

Theresa Fisher, Hyunju Kim, Camerian Millsaps +2

Inferring the properties of exoplanets from their atmospheres, while confronting low resolution and low signal-to-noise in the context of the quantities we want to derive, poses ri…

physics.soc-ph2020

Beyond COVID-19: Network science and sustainable exit strategies

James Bell, Ginestra Bianconi, David Butler +11

On May and , a two day workshop was held virtually, facilitated by the Beyond Center at ASU and Moogsoft Inc. The aim was to bring together leading scientists wi…

q-bio.MN2018★ 126 cited

Logic and connectivity jointly determine criticality in biological gene regulatory networks

Bryan C. Daniels, Hyunju Kim, Douglas Moore +5

The complex dynamics of gene expression in living cells can be well-approximated using Boolean networks. The average sensitivity is a natural measure of stability in these systems:…

q-bio.QM2017★ 77 cited

How causal analysis can reveal autonomy in models of biological systems

William Marshall, Hyunju Kim, Sara I. Walker +2

Standard techniques for studying biological systems largely focus on their dynamical, or, more recently, their informational properties, usually taking either a reductionist or hol…

q-bio.MN2015

New Scaling Relation for Information Transfer in Biological Networks

Hyunju Kim, Paul Davies, Sara Imari Walker

Living systems are often described utilizing informational analogies. An important open question is whether information is merely a useful conceptual metaphor, or intrinsic to the…

q-bio.MN2015★ 1 cited

The Informational Architecture Of The Cell

Sara Imari Walker, Hyunju Kim, Paul C. W. Davies

We compare the informational architecture of biological and random networks to identify informational features that may distinguish biological networks from random. The study prese…