AIMC Topic: Pattern Recognition, Automated

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Genome-wide discovery of miRNAs using ensembles of machine learning algorithms and logistic regression.

International journal of data mining and bioinformatics Jan 1, 2015
In silico prediction of novel miRNAs from genomic sequences remains a challenging problem. This study presents a genome-wide miRNA discovery software package called GenoScan and evaluates two hairpin classification methods. These methods, one ensembl...
Logistic Models Humans Pattern Recognition, Automated Sequence Analysis, RNA Machine Learning Base Sequence MicroRNAs Algorithms Genome, Human Regression Analysis Inverted Repeat Sequences Molecular Sequence Data Chromosome Mapping
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Sequence based human leukocyte antigen gene prediction using informative physicochemical properties.

International journal of data mining and bioinformatics Jan 1, 2015
Prediction of different classes within the human leukocyte antigen (HLA) gene family can provide insight into the human immune system and its response to viral pathogens. Therefore, it is desirable to develop an efficient and easily interpretable met...
Amino Acid Sequence Data Mining Pattern Recognition, Automated Humans Sequence Analysis, Protein Support Vector Machine Algorithms Molecular Sequence Data HLA-A Antigens Databases, Protein Structure-Activity Relationship Leukocytes
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Exploiting multi-layered vector spaces for signal peptide detection.

International journal of data mining and bioinformatics Jan 1, 2015
Analysing and classifying sequences based on similarities and differences is a mathematical problem of escalating relevance and importance in many scientific disciplines. One of the primary challenges in applying machine learning algorithms to sequen...
Sequence Analysis, Protein Protein Sorting Signals Pattern Recognition, Automated Molecular Sequence Data Sequence Alignment Support Vector Machine Algorithms Databases, Protein Peptides Amino Acid Sequence Data Mining
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Fuzzy linguistic prediction model for sinoatrial node field potential analysis in acute hyperglycemia environment.

Bio-medical materials and engineering Jan 1, 2015
The objective of this study is to build a fuzzy linguistic prediction model (FLPM) for analyzing the actuation duration of acute hyperglycemia to sinoatrial node field potential. The field potential was recorded using microelectrode arrays (MEA). The...
Algorithms Computer Simulation Reproducibility of Results Sensitivity and Specificity Animals Male Glucose Mice Pattern Recognition, Automated Humans Hyperglycemia Linguistics Neural Networks, Computer Fuzzy Logic Sinoatrial Node Mice, Inbred C57BL Models, Statistical Acute Disease
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Application of multi-output support vector regression on EMGs to decode hand continuous movement trajectory.

Bio-medical materials and engineering Jan 1, 2015
Applications of neural machine interfaces have received increased attention during the last decades. It is crucial to realize the continuous control of prosthetic devices based on biological signals. In order to deal with the highly nonlinear relatio...
Models, Biological Pattern Recognition, Automated Muscle Contraction Humans Muscle, Skeletal Movement Algorithms Hand Computer Simulation Electromyography Reproducibility of Results Sensitivity and Specificity Support Vector Machine Models, Statistical Regression Analysis
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A label distance maximum-based classifier for multi-label learning.

Bio-medical materials and engineering Jan 1, 2015
Multi-label classification is useful in many bioinformatics tasks such as gene function prediction and protein site localization. This paper presents an improved neural network algorithm, Max Label Distance Back Propagation Algorithm for Multi-Label ...
Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Gene Expression Profiling Proteome Pattern Recognition, Automated Protein Interaction Mapping
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A hybrid ensemble method based on double disturbance for classifying microarray data.

Bio-medical materials and engineering Jan 1, 2015
Microarray data has small samples and high dimension, and it contains a significant amount of irrelevant and redundant genes. This paper proposes a hybrid ensemble method based on double disturbance to improve classification performance. Firstly, ori...
Neoplasms Gene Expression Profiling Models, Statistical Neoplasm Proteins Humans Machine Learning Algorithms Computer Simulation Pattern Recognition, Automated Oligonucleotide Array Sequence Analysis
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An effective fuzzy kernel clustering analysis approach for gene expression data.

Bio-medical materials and engineering Jan 1, 2015
Fuzzy clustering is an important tool for analyzing microarray data. A major problem in applying fuzzy clustering method to microarray gene expression data is the choice of parameters with cluster number and centers. This paper proposes a new approac...
Computer Simulation Animals Gene Expression Profiling Proteome Humans Algorithms Models, Biological Multigene Family Pattern Recognition, Automated Signal Transduction Oligonucleotide Array Sequence Analysis Fuzzy Logic Models, Statistical
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Classification of imbalanced bioinformatics data by using boundary movement-based ELM.

Bio-medical materials and engineering Jan 1, 2015
To address the imbalanced classification problem emerging in Bioinformatics, a boundary movement-based extreme learning machine (ELM) algorithm called BM-ELM was proposed. BM-ELM tries to firstly explore the prior information about data distribution ...
High-Throughput Nucleotide Sequencing Pattern Recognition, Automated Sequence Alignment Sequence Analysis Machine Learning Algorithms Computer Simulation Support Vector Machine Models, Genetic Databases, Genetic Models, Statistical Data Mining
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A novel fractal approach for predicting G-protein-coupled receptors and their subfamilies with support vector machines.

Bio-medical materials and engineering Jan 1, 2015
G-protein-coupled receptors (GPCRs) are seven membrane-spanning proteins and regulate many important physiological processes, such as vision, neurotransmission, immune response and so on. GPCRs-related pathways are the targets of a large number of ma...
Algorithms Support Vector Machine Databases, Protein Receptors, G-Protein-Coupled Molecular Sequence Data Sequence Alignment Sequence Analysis, Protein Fractals Structure-Activity Relationship Amino Acid Sequence Data Mining Pattern Recognition, Automated
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