AIMC Topic: Sequence Alignment

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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...
Algorithms Peptides Support Vector Machine Databases, Protein Amino Acid Sequence Data Mining Pattern Recognition, Automated Molecular Sequence Data Sequence Alignment Sequence Analysis, Protein Protein Sorting Signals
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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 ...
Machine Learning Algorithms Computer Simulation Models, Genetic Support Vector Machine Databases, Genetic Models, Statistical Data Mining High-Throughput Nucleotide Sequencing Pattern Recognition, Automated Sequence Alignment Sequence Analysis
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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 Structure-Activity Relationship Amino Acid Sequence Data Mining Pattern Recognition, Automated Molecular Sequence Data Sequence Alignment Sequence Analysis, Protein Fractals
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