AIMC Topic: Support Vector Machine

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Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profiles.

Journal of bioinformatics and computational biology
Deep learning technologies are permeating every field from image and speech recognition to computational and systems biology. However, the application of convolutional neural networks (CCNs) to "omics" data poses some difficulties, such as the proces...

BacPaCS-Bacterial Pathogenicity Classification via Sparse-SVM.

Bioinformatics (Oxford, England)
MOTIVATION: Bacterial infections are a major cause of illness worldwide. However, most bacterial strains pose no threat to human health and may even be beneficial. Thus, developing powerful diagnostic bioinformatic tools that differentiate pathogenic...

Antibody interface prediction with 3D Zernike descriptors and SVM.

Bioinformatics (Oxford, England)
MOTIVATION: Antibodies are a class of proteins capable of specifically recognizing and binding to a virtually infinite number of antigens. This binding malleability makes them the most valuable category of biopharmaceuticals for both diagnostic and t...

Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.

Briefings in bioinformatics
In the course of infecting their hosts, pathogenic bacteria secrete numerous effectors, namely, bacterial proteins that pervert host cell biology. Many Gram-negative bacteria, including context-dependent human pathogens, use a type IV secretion syste...

Burn wound classification model using spatial frequency-domain imaging and machine learning.

Journal of biomedical optics
Accurate assessment of burn severity is critical for wound care and the course of treatment. Delays in classification translate to delays in burn management, increasing the risk of scarring and infection. To this end, numerous imaging techniques have...

[Prediction of protein subcellular localization based on multilayer sparse coding].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
In order to provide a theoretical basis for better understanding the function and properties of proteins, we proposed a simple and effective feature extraction method for protein sequences to determine the subcellular localization of proteins. First,...

Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species.

Bioinformatics (Oxford, England)
MOTIVATION: As one of important epigenetic modifications, DNA N4-methylcytosine (4mC) is recently shown to play crucial roles in restriction-modification systems. For better understanding of their functional mechanisms, it is fundamentally important ...

An improved least squares SVM with adaptive PSO for the prediction of coal spontaneous combustion.

Mathematical biosciences and engineering : MBE
The problem of coal spontaneous combustion prediction is very complex, and there are many factors that affect the prediction results. In order to solve the issues of high dimension and redundancy among features and limited samples in the prediction o...

Development of an automatic classifier for the prediction of hearing impairment from industrial noise exposure.

The Journal of the Acoustical Society of America
The ISO-1999 [(2013). International Organization for Standardization, Geneva, Switzerland] standard is the most commonly used approach for estimating noise-induced hearing trauma. However, its insensitivity to noise characteristics limits its practic...

Prediction of ISUP grading of clear cell renal cell carcinoma using support vector machine model based on CT images.

Medicine
BACKGROUND: To explore whether radiomics combined with computed tomography (CT) images can be used to establish a model for differentiating high grade (International Society of Urological Pathology [ISUP] grade III-IV) from low-grade (ISUP I-II) clea...