AIMC Topic: Support Vector Machine

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Classifying prostate cancer patients based on total prostate-specific antigen and free prostate-specific antigen features by support vector machine.

Journal of cancer research and therapeutics Jan 1, 2016
AIMS OF STUDY: In this work, we enhanced the role of prostate-specific antigen (PSA) test by examining the relation between free PSA (fPSA) and total PSA (tPSA) value and other biological information such as age and volume of prostate. Our primary go...
Sensitivity and Specificity Biomarkers, Tumor Male Aged Aged, 80 and over Adult Prostatic Neoplasms Prostate-Specific Antigen Biopsy Tumor Burden Middle Aged ROC Curve Support Vector Machine Humans Reproducibility of Results
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Discrimination of Active and Weakly Active Human BACE1 Inhibitors Using Self-Organizing Map and Support Vector Machine.

Combinatorial chemistry & high throughput screening Jan 1, 2016
β-secretase (BACE1) is an aspartyl protease, which is considered as a novel vital target in Alzheimer`s disease therapy. We collected a data set of 294 BACE1 inhibitors, and built six classification models to discriminate active and weakly active inh...
Linear Models Support Vector Machine Humans Amyloid Precursor Protein Secretases Alzheimer Disease Sensitivity and Specificity Aspartic Acid Endopeptidases Enzyme Inhibitors Drug Design
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Hybrid wavelet-support vector machine approach for modelling rainfall-runoff process.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2016
Because of the importance of water resources management, the need for accurate modeling of the rainfall-runoff process has rapidly grown in the past decades. Recently, the support vector machine (SVM) approach has been used by hydrologists for rainfa...
Hydrology Water Resources Neural Networks, Computer Rivers Models, Theoretical Rain Support Vector Machine Water Movements
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Self-Organizing Map (SOM) and Support Vector Machine (SVM) Models for the Prediction of Human Epidermal Growth Factor Receptor (EGFR/ ErbB-1) Inhibitors.

Combinatorial chemistry & high throughput screening Jan 1, 2016
EGFR (ErbB-1/HER1) kinase plays an important role in cancer therapy. Two classification models were established to predict whether a compound is an inhibitor or a decoy of human EGFR (ErbR-1) by using Kohonen's self-organizing map (SOM) and support v...
Humans ErbB Receptors Computing Methodologies Software Binding Sites Support Vector Machine Substrate Specificity Molecular Structure
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Classification of Human Pregnane X Receptor (hPXR) Activators and Non-Activators by Machine Learning Techniques: A Multifaceted Approach.

Combinatorial chemistry & high throughput screening Jan 1, 2016
The Human Pregnane X Receptor (hPXR) is a regulator of drug metabolising enzymes (DME) and efflux transporters (ET). The prediction of hPXR activators and non-activators has pharmaceutical importance to predict the multiple drug resistance (MDR) and ...
Drug Resistance, Multiple Pregnane X Receptor Pregnanes Receptors, Steroid Support Vector Machine Bayes Theorem Drug Interactions Humans Machine Learning
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Evaluation of Machine Learning Algorithm Utilization for Lung Cancer Classification Based on Gene Expression Levels.

Asian Pacific journal of cancer prevention : APJCP Jan 1, 2016
BACKGROUND: Lung cancer remains one of the most common cancers in the world, both in terms of new cases (about 13% of total per year) and deaths (nearly one cancer death in five), because of the high case fatality. Errors in lung cancer type or malig...
Lung Neoplasms Humans Biomarkers, Tumor Adenocarcinoma Machine Learning Gene Expression Profiling Algorithms Support Vector Machine Case-Control Studies Databases, Factual Decision Trees Carcinoma, Squamous Cell Small Cell Lung Carcinoma
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Identification of Glucose-Binding Pockets in Human Serum Albumin Using Support Vector Machine and Molecular Dynamics Simulations.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2016
Human Serum Albumin (HSA) has been suggested to be an alternate biomarker to the existing Hemoglobin-A1c (HbA1c) marker for glycemic monitoring. Development and usage of HSA as an alternate biomarker requires the identification of glycation sites, or...
Molecular Dynamics Simulation Serum Albumin Binding Sites Computational Biology Support Vector Machine Glucose Humans Protein Binding
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Alignment-Free Methods for the Detection and Specificity Prediction of Adenylation Domains.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2016
Identifying adenylation domains (A-domains) and their substrate specificity can aid the detection of nonribosomal peptide synthetases (NRPS) at genome/proteome level and allow inferring the structure of oligopeptides with relevant biological activiti...
Protein Structure, Tertiary Peptide Synthases Catalytic Domain Substrate Specificity Computer Graphics Software Bacteria Proteomics Support Vector Machine Workflow Models, Biological
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Use of machine learning approaches for novel drug discovery.

Expert opinion on drug discovery Jan 1, 2016
INTRODUCTION: The use of computational tools in the early stages of drug development has increased in recent decades. Machine learning (ML) approaches have been of special interest, since they can be applied in several steps of the drug discovery met...
Humans Drug Design Drug Discovery Support Vector Machine Decision Trees Neural Networks, Computer Machine Learning Molecular Docking Simulation Models, Biological Ligands Binding Sites
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Frontiers for the Early Diagnosis of AD by Means of MRI Brain Imaging and Support Vector Machines.

Current Alzheimer research Jan 1, 2016
The emergence of Alzheimer's Disease (AD) as a consequence of increasing aging population makes urgent the availability of methods for the early and accurate diagnosis. Magnetic Resonance Imaging (MRI) could be used as in vivo, non invasive tool to i...
Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Early Diagnosis Humans Brain Support Vector Machine
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