Applications of Biological Cell Models in Robotics

08/31/2017

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by Michele Braccini, et al.

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University of Bologna

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In this paper I present some of the most representative biological models applied to robotics. In particular, this work represents a survey of some models inspired, or making use of concepts, by gene regulatory networks (GRNs): these networks describe the complex interactions that affect gene expression and, consequently, cell behaviour.

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Applications of Biological Cell Models in Robotics

A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks

An Artificial Chemistry Implementation of a Gene Regulatory Network

Automatically layout and visualize the biological pathway map with spectral graph theory

Network Structure Inference, A Survey: Motivations, Methods, and Applications

Argudas: arguing with gene expression information

A single-cell gene expression language model

Active feature selection discovers minimal gene-sets for classifying cell-types and disease states in single-cell mRNA-seq data

Applications of Biological Cell Models in Robotics

Related Research

A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks

An Artificial Chemistry Implementation of a Gene Regulatory Network

Automatically layout and visualize the biological pathway map with spectral graph theory

Network Structure Inference, A Survey: Motivations, Methods, and Applications

Argudas: arguing with gene expression information

A single-cell gene expression language model

Active feature selection discovers minimal gene-sets for classifying cell-types and disease states in single-cell mRNA-seq data