AIMC Topic: Software
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Harnessing Computational Biology for Exact Linear B-Cell Epitope Prediction: A Novel Amino Acid Composition-Based Feature Descriptor.
Omics : a journal of integrative biology
Sep 25, 2015
Proteins embody epitopes that serve as their antigenic determinants. Epitopes occupy a central place in integrative biology, not to mention as targets for novel vaccine, pharmaceutical, and systems diagnostics development. The presence of T-cell and ...
Analyzing animal behavior via classifying each video frame using convolutional neural networks.
Scientific reports
Sep 23, 2015
High-throughput analysis of animal behavior requires software to analyze videos. Such software analyzes each frame individually, detecting animals' body parts. But the image analysis rarely attempts to recognize "behavioral states"-e.g., actions or f...
PDON: Parkinson's disease ontology for representation and modeling of the Parkinson's disease knowledge domain.
Theoretical biology & medical modelling
Sep 22, 2015
BACKGROUND: Despite the unprecedented and increasing amount of data, relatively little progress has been made in molecular characterization of mechanisms underlying Parkinson's disease. In the area of Parkinson's research, there is a pressing need to...
l2 Multiple Kernel Fuzzy SVM-Based Data Fusion for Improving Peptide Identification.
IEEE/ACM transactions on computational biology and bioinformatics
Sep 18, 2015
SEQUEST is a database-searching engine, which calculates the correlation score between observed spectrum and theoretical spectrum deduced from protein sequences stored in a flat text file, even though it is not a relational and object-oriental reposi...
Self-Adaptive Strategy Based on Fuzzy Control Systems for Improving Performance in Wireless Sensors Networks.
Sensors (Basel, Switzerland)
Sep 18, 2015
The solutions to cope with new challenges that societies have to face nowadays involve providing smarter daily systems. To achieve this, technology has to evolve and leverage physical systems automatic interactions, with less human intervention. Tech...
SORTA: a system for ontology-based re-coding and technical annotation of biomedical phenotype data.
Database : the journal of biological databases and curation
Sep 18, 2015
There is an urgent need to standardize the semantics of biomedical data values, such as phenotypes, to enable comparative and integrative analyses. However, it is unlikely that all studies will use the same data collection protocols. As a result, ret...
Improving tRNAscan-SE Annotation Results via Ensemble Classifiers.
Molecular informatics
Sep 14, 2015
tRNAScan-SE is a tRNA detection program that is widely used for tRNA annotation; however, the false positive rate of tRNAScan-SE is unacceptable for large sequences. Here, we used a machine learning method to try to improve the tRNAScan-SE results. A...
Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.
Proceedings of the National Academy of Sciences of the United States of America
Sep 9, 2015
A lack of automated, quantitative, and accurate assessment of social behaviors in mammalian animal models has limited progress toward understanding mechanisms underlying social interactions and their disorders such as autism. Here we present a new in...
Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.
Medical image analysis
Sep 8, 2015
In this paper, we tackle the problem of automatic classification of pulmonary peri-fissural nodules (PFNs). The classification problem is formulated as a machine learning approach, where detected nodule candidates are classified as PFNs or non-PFNs. ...
Subtraction Technique
Algorithms
Tomography, X-Ray Computed
Reproducibility of Results
Humans
Solitary Pulmonary Nodule
Sensitivity and Specificity
Neural Networks, Computer
Pattern Recognition, Automated
Radiographic Image Interpretation, Computer-Assisted
Imaging, Three-Dimensional
Software
Radiographic Image Enhancement
Lung Neoplasms
Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors.
Computers in biology and medicine
Sep 8, 2015
Medication non-adherence is a major concern in the healthcare industry and has led to increases in health risks and medical costs. For many neurological diseases, adherence to medication regimens can be assessed by observing movement patterns. Howeve...
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