AIMC Topic: Animals

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Logical Reasoning (Inferencing) on MicroRNA Data.

Methods in molecular biology (Clifton, N.J.)
Logical reasoning played an important role in artificial intelligence. Applying logical reasoning on microRNA data brings intelligence into data analysis. Here, we provide basic introduction about logic (especially propositional logic) and automated ...

Semantic Technologies and Bio-Ontologies.

Methods in molecular biology (Clifton, N.J.)
As information available through data repositories constantly grows, the need for automated mechanisms for linking, querying, and sharing data has become a relevant factor both in research and industry. This situation is more evident in research fiel...

Application of Machine Learning Approaches for Protein-protein Interactions Prediction.

Medicinal chemistry (Shariqah (United Arab Emirates))
BACKGROUND: Proteomics endeavors to study the structures, functions and interactions of proteins. Information of the protein-protein interactions (PPIs) helps to improve our knowledge of the functions and the 3D structures of proteins. Thus determini...

Three-Dimensional Path Planning for Uninhabited Combat Aerial Vehicle Based on Predator-Prey Pigeon-Inspired Optimization in Dynamic Environment.

IEEE/ACM transactions on computational biology and bioinformatics
Three-dimension path planning of uninhabited combat aerial vehicle (UCAV) is a complicated optimal problem, which mainly focused on optimizing the flight route considering the different types of constrains under complex combating environment. A novel...

Symbiosis-Based Alternative Learning Multi-Swarm Particle Swarm Optimization.

IEEE/ACM transactions on computational biology and bioinformatics
Inspired by the ideas from the mutual cooperation of symbiosis in natural ecosystem, this paper proposes a new variant of PSO, named Symbiosis-based Alternative Learning Multi-swarm Particle Swarm Optimization (SALMPSO). A learning probability to sel...

Tutorial on Protein Ontology Resources.

Methods in molecular biology (Clifton, N.J.)
The Protein Ontology (PRO) is the reference ontology for proteins in the Open Biomedical Ontologies (OBO) foundry and consists of three sub-ontologies representing protein classes of homologous genes, proteoforms (e.g., splice isoforms, sequence vari...

Machine vision methods for analyzing social interactions.

The Journal of experimental biology
Recent developments in machine vision methods for automatic, quantitative analysis of social behavior have immensely improved both the scale and level of resolution with which we can dissect interactions between members of the same species. In this p...

Collection of Simulated Data from a Thalamocortical Network Model.

Neuroinformatics
A major challenge in experimental data analysis is the validation of analytical methods in a fully controlled scenario where the justification of the interpretation can be made directly and not just by plausibility. In some sciences, this could be a ...

Detection of Dendritic Spines Using Wavelet Packet Entropy and Fuzzy Support Vector Machine.

CNS & neurological disorders drug targets
The morphology of dendritic spines is highly correlated with the neuron function. Therefore, it is of positive influence for the research of the dendritic spines. However, it is tried to manually label the spine types for statistical analysis. In thi...

The Vision and Challenges of the Gene Ontology.

Methods in molecular biology (Clifton, N.J.)
The overarching goal of the Gene Ontology (GO) Consortium is to provide researchers in biology and biomedicine with all current functional information concerning genes and the cellular context under which these occur. When the GO was started in the 1...