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Biological Evolution

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Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies.

Computational intelligence and neuroscience
Over the recent years, ontologies are widely used in various domains such as medical records annotation, medical knowledge representation and sharing, clinical guideline management, and medical decision-making. To implement the cooperation between in...

Inferring locomotor behaviours in Miocene New World monkeys using finite element analysis, geometric morphometrics and machine-learning classification techniques applied to talar morphology.

Journal of the Royal Society, Interface
The talus is one of the most commonly preserved post-cranial elements in the platyrrhine fossil record. Talar morphology can provide information about postural adaptations because it is the anatomical structure responsible for transmitting body mass ...

Evidence of Rentian Scaling of Functional Modules in Diverse Biological Networks.

Neural computation
Biological networks have long been known to be modular, containing sets of nodes that are highly connected internally. Less emphasis, however, has been placed on understanding how intermodule connections are distributed within a network. Here, we bor...

Harnessing the evolutionary information on oxygen binding proteins through Support Vector Machines based modules.

BMC research notes
OBJECTIVES: The arrival of free oxygen on the globe, aerobic life is becoming possible. However, it has become very clear that the oxygen binding proteins are widespread in the biosphere and are found in all groups of organisms, including prokaryotes...

Prediction of Apoptosis Protein's Subcellular Localization by Fusing Two Different Descriptors Based on Evolutionary Information.

Acta biotheoretica
The apoptosis protein has a central role in the development and the homeostasis of an organism. Obtaining information about the subcellular localization of apoptosis protein is very helpful to understand the apoptosis mechanism and the function of th...

TLBO-Based Adaptive Neurofuzzy Controller for Mobile Robot Navigation in a Strange Environment.

Computational intelligence and neuroscience
This work investigates the possibility of using a novel evolutionary based technique as a solution for the navigation problem of a mobile robot in a strange environment which is based on Teaching-Learning-Based Optimization. TLBO is employed to train...

Supervised Machine Learning for Population Genetics: A New Paradigm.

Trends in genetics : TIG
As population genomic datasets grow in size, researchers are faced with the daunting task of making sense of a flood of information. To keep pace with this explosion of data, computational methodologies for population genetic inference are rapidly be...

Robot life: simulation and participation in the study of evolution and social behavior.

History and philosophy of the life sciences
This paper explores the case of using robots to simulate evolution, in particular the case of Hamilton's Law. The uses of robots raises several questions that this paper seeks to address. The first concerns the role of the robots in biological resear...

Robustness in living organisms is homeostasis.

Seminars in immunology
In order to survive and reproduce, living organisms must be robust, tolerate injuries and undergo repair. Robustness in living organisms compares to robustness in human inventions, such as buildings and machines, which have to withstand occasional da...