AIMC Topic:
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A Computational Framework for Realistic Retina Modeling.
International journal of neural systems
Apr 7, 2016
Computational simulations of the retina have led to valuable insights about the biophysics of its neuronal activity and processing principles. A great number of retina models have been proposed to reproduce the behavioral diversity of the different v...
Developing a web-based SKOS editor.
Journal of biomedical semantics
Apr 4, 2016
BACKGROUND: The Simple Knowledge Organization System (SKOS) was introduced to the wider research community by a 2005 World Wide Web Consortium (W3C) working draft, and further developed and refined in a 2009 W3C recommendation. Since then, SKOS has b...
The Virtual Screening of the Drug Protein with a Few Crystal Structures Based on the Adaboost-SVM.
Computational and mathematical methods in medicine
Apr 3, 2016
Using the theory of machine learning to assist the virtual screening (VS) has been an effective plan. However, the quality of the training set may reduce because of mixing with the wrong docking poses and it will affect the screening efficiencies. To...
Protein Conformation
Imaging, Three-Dimensional
Cathepsin K
Chemistry, Pharmaceutical
Reproducibility of Results
Binding Sites
Protein Binding
Hydrogen
Proteins
Drug Design
Combinatorial Chemistry Techniques
Computational Biology
Humans
Area Under Curve
Databases, Protein
ROC Curve
Support Vector Machine
Software
Ligands
Models, Statistical
Crystallization
Algorithms
Webulous and the Webulous Google Add-On--a web service and application for ontology building from templates.
Journal of biomedical semantics
Apr 1, 2016
BACKGROUND: Authoring bio-ontologies is a task that has traditionally been undertaken by skilled experts trained in understanding complex languages such as the Web Ontology Language (OWL), in tools designed for such experts. As requests for new terms...
Recombination spot identification Based on gapped k-mers.
Scientific reports
Mar 31, 2016
Recombination is crucial for biological evolution, which provides many new combinations of genetic diversity. Accurate identification of recombination spots is useful for DNA function study. To improve the prediction accuracy, researchers have propos...
An automated knowledge-based textual summarization system for longitudinal, multivariate clinical data.
Journal of biomedical informatics
Mar 30, 2016
OBJECTIVES: Design and implement an intelligent free-text summarization system: The system's input includes large numbers of longitudinal, multivariate, numeric and symbolic clinical raw data, collected over varying periods of time, and in different ...
Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images.
Scientific reports
Mar 23, 2016
Determination of fundamental mechanisms of disease often hinges on histopathology visualization and quantitative image analysis. Currently, the analysis of multi-channel fluorescence tissue images is primarily achieved by manual measurements of tissu...
The Disease Portals, disease-gene annotation and the RGD disease ontology at the Rat Genome Database.
Database : the journal of biological databases and curation
Mar 23, 2016
The Rat Genome Database (RGD;http://rgd.mcw.edu/) provides critical datasets and software tools to a diverse community of rat and non-rat researchers worldwide. To meet the needs of the many users whose research is disease oriented, RGD has created a...
Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients.
PLoS neglected tropical diseases
Mar 18, 2016
BACKGROUND: Assessment of the response to the 2014-15 Ebola outbreak indicates the need for innovations in data collection, sharing, and use to improve case detection and treatment. Here we introduce a Machine Learning pipeline for Ebola Virus Diseas...
A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users.
Computational intelligence and neuroscience
Mar 16, 2016
Rapid growth of web and its applications has created a colossal importance for recommender systems. Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests. Basical...
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