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20172021
most citedAntifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-class Classification with a Convolutional Neural Network

16 citations · 16 across the 2 of their papers we have counts for

collaborators

6 papers

math.CO2021

Towards a dichotomy for the switch list homomorphism problem for signed graphs

Hyobin Kim, Mark Siggers

We make advances towards a structural characterisation of the signed graphs for which the list switch -colouring problem problem is polynomial tim…

nlin.AO2020★ 16 cited

Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-class Classification with a Convolutional Neural Network

Hyobin Kim, Stalin Muñoz, Pamela Osuna +1

Robustness and evolvability are essential properties to the evolution of biological networks. To determine if a biological network is robust and/or evolvable, it is required to com…

nlin.AO2019

A Multilayer Structure Facilitates the Production of Antifragile Systems in Boolean Network Models

Hyobin Kim, Omar K. Pineda, Carlos Gershenson

Antifragility is a property from which systems are able to resist stress and furthermore benefit from it. Even though antifragile dynamics is found in various real-world complex sy…

nlin.AO2018

A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks

Omar K. Pineda, Hyobin Kim, Carlos Gershenson

Antifragility is a property that enhances the capability of a system in response to external perturbations. Although the concept has been applied in many areas, a practical measure…

q-bio.MN2018

How Criticality of Gene Regulatory Networks Affects the Resulting Morphogenesis under Genetic Perturbations

Hyobin Kim, Hiroki Sayama

Whereas the relationship between criticality of gene regulatory networks (GRNs) and dynamics of GRNs at a single cell level has been vigorously studied, the relationship between th…

q-bio.CB2017

The Role of Criticality of Gene Regulatory Networks in Morphogenesis

Hyobin Kim, Hiroki Sayama

Gene regulatory network (GRN)-based morphogenetic models have recently gained an increasing attention. However, the relationship between microscopic properties of intracellular GRN…