AIMC Topic: Support Vector Machine

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Support vector machine model of developmental brain gene expression data for prioritization of Autism risk gene candidates.

Bioinformatics (Oxford, England) Aug 9, 2016
MOTIVATION: Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders with clinical heterogeneity and a substantial polygenic component. High-throughput methods for ASD risk gene identification produce numerous candidate genes that ...
Humans Autism Spectrum Disorder Algorithms Brain Risk Factors Support Vector Machine Gene Expression
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Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model.

Protein science : a publication of the Protein Society Aug 9, 2016
Predicting protein-protein interactions (PPIs) is a challenging task and essential to construct the protein interaction networks, which is important for facilitating our understanding of the mechanisms of biological systems. Although a number of high...
Algorithms Bacterial Proteins Helicobacter pylori Saccharomyces cerevisiae Saccharomyces cerevisiae Proteins Protein Binding Support Vector Machine Databases, Protein
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Development of Health Parameter Model for Risk Prediction of CVD Using SVM.

Computational and mathematical methods in medicine Aug 9, 2016
Current methods of cardiovascular risk assessment are performed using health factors which are often based on the Framingham study. However, these methods have significant limitations due to their poor sensitivity and specificity. We have compared th...
Outcome Assessment, Health Care Linear Models Pattern Recognition, Automated Eye Support Vector Machine Risk Assessment Male Humans Australia Cohort Studies Databases, Factual Cardiovascular Diseases Machine Learning ROC Curve Regression Analysis Female Algorithms Genetic Predisposition to Disease Middle Aged Aged Sensitivity and Specificity
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In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches.

BioMed research international Aug 8, 2016
Gamma-aminobutyric acid type-A receptors (GABAARs) belong to multisubunit membrane spanning ligand-gated ion channels (LGICs) which act as the principal mediators of rapid inhibitory synaptic transmission in the human brain. Therefore, the category p...
Reproducibility of Results Computational Biology Support Vector Machine Decision Making Models, Statistical Decision Trees Databases, Protein Machine Learning Receptors, GABA-A Amino Acids Humans Algorithms Ligands Brain Amino Acid Motifs Computer Simulation
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Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study.

PloS one Aug 8, 2016
The classification of neuroimaging data for the diagnosis of certain brain diseases is one of the main research goals of the neuroscience and clinical communities. In this study, we performed multiclass classification using a hierarchical extreme lea...
Diagnosis, Differential Neuroimaging Attention Deficit Disorder with Hyperactivity Brain Female Male Adolescent Child Support Vector Machine Humans Magnetic Resonance Imaging Machine Learning Software
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Positive-Unlabeled Learning for Pupylation Sites Prediction.

BioMed research international Aug 7, 2016
Pupylation plays a key role in regulating various protein functions as a crucial posttranslational modification of prokaryotes. In order to understand the molecular mechanism of pupylation, it is important to identify pupylation substrates and sites ...
Binding Sites Ubiquitination Protein Processing, Post-Translational Machine Learning Proteins Algorithms Databases, Protein Support Vector Machine Lysine
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Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting.

Health informatics journal Aug 4, 2016
Hospital-acquired infections pose a significant risk to patient health, while their surveillance is an additional workload for hospital staff. Our overall aim is to build a surveillance system that reliably detects all patient records that potentiall...
Support Vector Machine Infections Iatrogenic Disease Humans Data Analysis Machine Learning Electronic Health Records Mass Screening
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Identification of informative genes and pathways using an improved penalized support vector machine with a weighting scheme.

Computers in biology and medicine Aug 4, 2016
Incorporation of pathway knowledge into microarray analysis has brought better biological interpretation of the analysis outcome. However, most pathway data are manually curated without specific biological context. Non-informative genes could be incl...
Gene Expression Profiling Transcriptome Gene Regulatory Networks Mice Humans Animals Neoplasms Microarray Analysis Computational Biology Cell Cycle Support Vector Machine Apoptosis
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Daily changes of individual gait patterns identified by means of support vector machines.

Gait & posture Jul 29, 2016
Despite the common knowledge about the individual character of human gait patterns and about their non-repeatability, little is known about their stability, their interactions and their changes over time. Variations of gait patterns are typically des...
Models, Biological Circadian Rhythm Healthy Volunteers Movement Male Support Vector Machine Gait Humans Female Adult Biomechanical Phenomena
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An approach for deciphering patient-specific variations with application to breast cancer molecular expression profiles.

Journal of biomedical informatics Jul 28, 2016
Several studies have successfully used molecular expression profiling in conjunction with classification techniques for discerning distinct disease groups. However, a majority of these studies do not provide sufficient insights into potential patient...
Gene Expression Profiling Support Vector Machine Bayes Theorem Humans Prognosis Female Breast Neoplasms
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