AIMC Topic: Support Vector Machine

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Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance.

The plant genome Jul 1, 2018
New methods and algorithms are being developed for predicting untested phenotypes in schemes commonly used in genomic selection (GS). The prediction of disease resistance in GS has its own peculiarities: a) there is consensus about the additive natur...
Plant Breeding Disease Resistance Genome, Plant Support Vector Machine Triticum Plant Diseases Linear Models Basidiomycota Machine Learning Genomics Models, Genetic Neural Networks, Computer
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Discriminating early- and late-stage cancers using multiple kernel learning on gene sets.

Bioinformatics (Oxford, England) Jul 1, 2018
MOTIVATION: Identifying molecular mechanisms that drive cancers from early to late stages is highly important to develop new preventive and therapeutic strategies. Standard machine learning algorithms could be used to discriminate early- and late-sta...
Humans Machine Learning Gene Expression Profiling Sequence Analysis, RNA Support Vector Machine Female Male Neoplasms Genome, Human Metabolic Networks and Pathways Neoplasm Staging
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Learning with multiple pairwise kernels for drug bioactivity prediction.

Bioinformatics (Oxford, England) Jul 1, 2018
MOTIVATION: Many inference problems in bioinformatics, including drug bioactivity prediction, can be formulated as pairwise learning problems, in which one is interested in making predictions for pairs of objects, e.g. drugs and their targets. Kernel...
Neoplasms Drug Discovery Support Vector Machine Antineoplastic Agents Cell Line, Tumor Protein Kinases Signal Transduction Computational Biology Treatment Outcome Humans Software
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Automatic recognition of self-acknowledged limitations in clinical research literature.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2018
OBJECTIVE: To automatically recognize self-acknowledged limitations in clinical research publications to support efforts in improving research transparency.
Machine Learning Natural Language Processing Publications PubMed Biomedical Research Logistic Models Support Vector Machine
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O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique.

Bioinformatics (Oxford, England) Jun 15, 2018
MOTIVATION: Protein O-GlcNAcylation (O-GlcNAc) is an important post-translational modification of serine (S)/threonine (T) residues that involves multiple molecular and cellular processes. Recent studies have suggested that abnormal O-G1cNAcylation c...
Acetylglucosamine Computational Biology Support Vector Machine Proteomics Bayes Theorem Protein Processing, Post-Translational Models, Biological
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Design of a hybrid model for cardiac arrhythmia classification based on Daubechies wavelet transform.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University Jun 1, 2018
BACKGROUND: Automation in cardiac arrhythmia classification helps medical professionals make accurate decisions about the patient's health.
Humans Electrocardiography Algorithms Wavelet Analysis Support Vector Machine Diagnosis, Computer-Assisted Arrhythmias, Cardiac
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Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation.

Bioinformatics (Oxford, England) Jun 1, 2018
MOTIVATION: Protein-protein interactions (PPI) play a crucial role in our understanding of protein function and biological processes. The standardization and recording of experimental findings is increasingly stored in ontologies, with the Gene Ontol...
Computational Biology Support Vector Machine Molecular Sequence Annotation Gene Ontology Entropy
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Feature specific quantile normalization enables cross-platform classification of molecular subtypes using gene expression data.

Bioinformatics (Oxford, England) Jun 1, 2018
MOTIVATION: Molecular subtypes of cancers and autoimmune disease, defined by transcriptomic profiling, have provided insight into disease pathogenesis, molecular heterogeneity and therapeutic responses. However, technical biases inherent to different...
Oligonucleotide Array Sequence Analysis Neoplasms Gene Expression Profiling Sequence Analysis, RNA Gene Expression Regulation, Neoplastic Support Vector Machine Colonic Neoplasms Female Colorectal Neoplasms Breast Neoplasms Humans Software
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Combining classifiers to detect faults in wastewater networks.

Water science and technology : a journal of the International Association on Water Pollution Research May 1, 2018
This work presents a methodology for automatic detection of structural faults in sewers from CCTV footage, which has been improved by combining the outputs of different machine learning techniques. The predictions of support vector machine and random...
Wastewater Waste Disposal, Fluid Support Vector Machine Algorithms
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Machine Learning Based Automatic Neovascularization Detection on Optic Disc Region.

IEEE journal of biomedical and health informatics May 1, 2018
In this paper, the automatic detection of neovascularization in the optic disc region (NVD) for color fundus retinal image is presented. NV is the indicator for the onset of proliferative diabetic retinopathy and it is featured by the presence of new...
Optic Disk Diabetic Retinopathy Diagnostic Techniques, Ophthalmological Humans Machine Learning Support Vector Machine Neovascularization, Pathologic Image Interpretation, Computer-Assisted
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