Connectomes inform function: from time-varying dynamics to animal behaviour [0.03%]
连接体揭示功能：从动态变化到动物行为
Jacob Morra,Kaitlyn Fouke,Eva A Naumann et al.
Jacob Morra et al.
Structure guides computation in biological and artificial neural networks. However, the nature of the relationship between structure and function, in this context, is unclear. For example, there is still debate on whether constraining a net...
Irina Kostitsyna,Cai Wood,Damien Woods
Irina Kostitsyna
Molecular robotics is challenging, so it seems best to keep it simple. We consider an abstract molecular robotics model based on simple folding instructions that execute asynchronously. Turning Machines are a simple 1D to 2D folding model, ...
Protein structure prediction with energy minimization and deep learning approaches [0.03%]
基于能量最小化和深度学习的蛋白质结构预测
Juan Luis Filgueiras,Daniel Varela,José Santos
Juan Luis Filgueiras
In this paper we discuss the advantages and problems of two alternatives for ab initio protein structure prediction. On one hand, recent approaches based on deep learning, which have significantly improved prediction results for a wide vari...
Computational graph pangenomics: a tutorial on data structures and their applications [0.03%]
计算图泛基因组学：数据结构及其应用教程
Jasmijn A Baaijens,Paola Bonizzoni,Christina Boucher et al.
Jasmijn A Baaijens et al.
Computational pangenomics is an emerging research field that is changing the way computer scientists are facing challenges in biological sequence analysis. In past decades, contributions from combinatorics, stringology, graph theory and dat...
Estimates of the collective immunity to COVID-19 derived from a stochastic cellular automaton based framework [0.03%]
基于随机元胞自动机框架的新冠肺炎群体免疫估算模型
Isaías Lima,Pedro Paulo Balbi
Isaías Lima
In the context of the propagation of infectious diseases, when a sufficient degree of immunisation is achieved within a population, the spread of the disease is ended or significantly decreased, leading to collective immunity, meaning the i...
A GIS-aided cellular automata system for monitoring and estimating graph-based spread of epidemics [0.03%]
一种GIS支持的元胞自动机系统用于监测和估计基于图的流行病传播
Charilaos Kyriakou,Ioakeim G Georgoudas,Nick P Papanikolaou et al.
Charilaos Kyriakou et al.
In this study, we introduce an application of a Cellular Automata (CA)-based system for monitoring and estimating the spread of epidemics in real world, considering the example of a Greek city. The proposed system combines cellular structur...
Andrzej Skowron,Soma Dutta
Andrzej Skowron
Introduction of rough sets by Professor Zdzisław Pawlak has completed 35 years. The theory has already attracted the attention of many researchers and practitioners, who have contributed essentially to its development, from all over the wo...
Scaling up genetic circuit design for cellular computing: advances and prospects [0.03%]
扩展遗传电路设计用于细胞计算：进展和展望
Yiyu Xiang,Neil Dalchau,Baojun Wang
Yiyu Xiang
Synthetic biology aims to engineer and redesign biological systems for useful real-world applications in biomanufacturing, biosensing and biotherapy following a typical design-build-test cycle. Inspired from computer science and electronics...
Neil Dalchau,Gregory Szép,Rosa Hernansaiz-Ballesteros et al.
Neil Dalchau et al.
The complex dynamics of biological systems is primarily driven by molecular interactions that underpin the regulatory networks of cells. These networks typically contain positive and negative feedback loops, which are responsible for switch...
A tutorial on multiobjective optimization: fundamentals and evolutionary methods [0.03%]
多目标优化教程：基础知识与进化方法
Michael T M Emmerich,André H Deutz
Michael T M Emmerich
In almost no other field of computer science, the idea of using bio-inspired search paradigms has been so useful as in solving multiobjective optimization problems. The idea of using a population of search agents that collectively approxima...