activity
19942023
most citedEvolution of Biological Complexity

606 citations · 4.3k across the 100 of their papers we have counts for

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Showing 2013Show all

6 papers · 1 filter

q-bio.MN2013★ 17 cited

A genome wide dosage suppressor network reveals genetic robustness and a novel mechanism for Huntington's disease

B. Patra, Y. Kon, G. Yadav +17

Mutational robustness is the extent to which an organism has evolved to withstand the effects of deleterious mutations. We explored the extent of mutational robustness in the buddi…

q-bio.PE2013★ 75 cited

Risk aversion as an evolutionary adaptation

Arend Hintze, Randal S. Olson, Christoph Adami +1

Risk aversion is a common behavior universal to humans and animals alike. Economists have traditionally defined risk preferences by the curvature of the utility function. Psycholog…

q-bio.PE2013

Trade-offs drive resource specialization and the gradual establishment of ecotypes

Bjørn Østman, Randall Lin, Christoph Adami

Speciation is driven by many different factors. Among those are trade-offs between different ways an organism utilizes resources, and these trade-offs can constrain the manner in w…

quant-ph2013★ 24 cited

The capacity of black holes to transmit quantum information

Kamil Bradler, Christoph Adami

We study the properties of the quantum information transmission channel that emerges from the quantum dynamics of particles interacting with a black hole horizon. We calculate the…

q-bio.PE2013★ 1 cited

Evolution of swarming behavior is shaped by how predators attack

Randal S. Olson, David B. Knoester, Christoph Adami

Animal grouping behaviors have been widely studied due to their implications for understanding social intelligence, collective cognition, and potential applications in engineering,…

q-bio.PE2013

Predicting evolution and visualizing high-dimensional fitness landscapes

Bjørn Østman, Christoph Adami

The tempo and mode of an adaptive process is strongly determined by the structure of the fitness landscape that underlies it. In order to be able to predict evolutionary outcomes (…