AIMC Topic: Support Vector Machine

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Prediction of Activity Cliffs Using Condensed Graphs of Reaction Representations, Descriptor Recombination, Support Vector Machine Classification, and Support Vector Regression.

Journal of chemical information and modeling Aug 26, 2016
Activity cliffs (ACs) are formed by structurally similar compounds with large differences in activity. Accordingly, ACs are of high interest for the exploration of structure-activity relationships (SARs). ACs reveal small chemical modifications that ...
Quantitative Structure-Activity Relationship Informatics Support Vector Machine Drug Interactions Drug Discovery
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Purely Structural Protein Scoring Functions Using Support Vector Machine and Ensemble Learning.

IEEE/ACM transactions on computational biology and bioinformatics Aug 24, 2016
The function of a protein is determined by its structure, which creates a need for efficient methods of protein structure determination to advance scientific and medical research. Because current experimental structure determination methods carry a h...
Proteins Databases, Protein Machine Learning Algorithms Computational Biology Support Vector Machine
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Energy-Efficient Neuromorphic Classifiers.

Neural computation Aug 24, 2016
Neuromorphic engineering combines the architectural and computational principles of systems neuroscience with semiconductor electronics, with the aim of building efficient and compact devices that mimic the synaptic and neural machinery of the brain....
Humans Neural Networks, Computer Energy Metabolism Support Vector Machine Semiconductors
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A Mass Spectrometric Analysis Method Based on PPCA and SVM for Early Detection of Ovarian Cancer.

Computational and mathematical methods in medicine Aug 23, 2016
Background. Surfaced-enhanced laser desorption-ionization-time of flight mass spectrometry (SELDI-TOF-MS) technology plays an important role in the early diagnosis of ovarian cancer. However, the raw MS data is highly dimensional and redundant. There...
Image Processing, Computer-Assisted Support Vector Machine Sensitivity and Specificity ROC Curve Mass Spectrometry Principal Component Analysis Ovarian Neoplasms Female Early Detection of Cancer Humans Reproducibility of Results
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A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine.

PloS one Aug 23, 2016
Short-term traffic flow prediction is one of the most important issues in the field of intelligent transport system (ITS). Because of the uncertainty and nonlinearity, short-term traffic flow prediction is a challenging task. In order to improve the ...
Models, Theoretical Support Vector Machine Automobiles Algorithms China Humans Artificial Intelligence Machine Learning
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Ambulatory activity classification with dendogram-based support vector machine: Application in lower-limb active exoskeleton.

Gait & posture Aug 21, 2016
Ambulatory activity classification is an active area of research for controlling and monitoring state initiation, termination, and transition in mobility assistive devices such as lower-limb exoskeletons. State transition of lower-limb exoskeletons r...
Accelerometry Exoskeleton Device Walking Support Vector Machine Pressure Lower Extremity Humans Young Adult Algorithms Adult
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Effect of Protein Repetitiveness on Protein-Protein Interaction Prediction Results Using Support Vector Machines.

Journal of computational biology : a journal of computational molecular cell biology Aug 16, 2016
BACKGROUND: There are many computational approaches to predict the protein-protein interactions using support vector machines (SVMs) with high performance. In fact, performance of currently reported methods are significantly over-estimated and affect...
Protein Interaction Mapping Humans Support Vector Machine Datasets as Topic Proteins Saccharomyces cerevisiae
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SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity.

PloS one Aug 15, 2016
Knowledge of protein function is important for biological, medical and therapeutic studies, but many proteins are still unknown in function. There is a need for more improved functional prediction methods. Our SVM-Prot web-server employed a machine l...
Computational Biology Support Vector Machine Sequence Alignment Internet Amino Acid Sequence Proteins Databases, Protein
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OMPcontact: An Outer Membrane Protein Inter-Barrel Residue Contact Prediction Method.

Journal of computational biology : a journal of computational molecular cell biology Aug 11, 2016
In the two transmembrane protein types, outer membrane proteins (OMPs) perform diverse important biochemical functions, including substrate transport and passive nutrient uptake and intake. Hence their 3D structures are expected to reveal these funct...
Databases, Protein Biological Transport Bacterial Outer Membrane Proteins Support Vector Machine Protein Interaction Domains and Motifs Protein Conformation, alpha-Helical Protein Conformation, beta-Strand Membrane Lipids Protein Structure, Tertiary
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TargetM6A: Identifying N-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine.

IEEE transactions on nanobioscience Aug 10, 2016
As one of the most ubiquitous post-transcriptional modifications of RNA, N-methyladenosine ( [Formula: see text]) plays an essential role in many vital biological processes. The identification of [Formula: see text] sites in RNAs is significantly imp...
Computational Biology Sequence Analysis, RNA Saccharomyces cerevisiae Adenosine Support Vector Machine RNA
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