AIMC Topic:
Data Mining

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Mining nutrigenetics patterns related to obesity: use of parallel multifactor dimensionality reduction.

International journal of bioinformatics research and applications
This paper aims to enlighten the complex etiology beneath obesity by analysing data from a large nutrigenetics study, in which nutritional and genetic factors associated with obesity were recorded for around two thousand individuals. In our previous ...

Learning multiple distributed prototypes of semantic categories for named entity recognition.

International journal of data mining and bioinformatics
The scarcity of large labelled datasets comprising clinical text that can be exploited within the paradigm of supervised machine learning creates barriers for the secondary use of data from electronic health records. It is therefore important to deve...

Sequence based human leukocyte antigen gene prediction using informative physicochemical properties.

International journal of data mining and bioinformatics
Prediction of different classes within the human leukocyte antigen (HLA) gene family can provide insight into the human immune system and its response to viral pathogens. Therefore, it is desirable to develop an efficient and easily interpretable met...

Exploiting multi-layered vector spaces for signal peptide detection.

International journal of data mining and bioinformatics
Analysing and classifying sequences based on similarities and differences is a mathematical problem of escalating relevance and importance in many scientific disciplines. One of the primary challenges in applying machine learning algorithms to sequen...

Gene function prediction with knowledge from gene ontology.

International journal of data mining and bioinformatics
Gene function prediction is an important problem in bioinformatics. Due to the inherent noise existing in the gene expression data, the attempt to improve the prediction accuracy resorting to new classification techniques is limited. With the emergen...

Mining literatures to discover novel multiple biological associations in a disease context.

International journal of data mining and bioinformatics
The text mining methods proposed to discover associations between pairs of biological entities by mining a scientific literature often extract associations already existing in the literature, whereas their extensions supervise too much the discovery ...

Ensemble of sparse classifiers for high-dimensional biological data.

International journal of data mining and bioinformatics
Biological data are often high in dimension while the number of samples is small. In such cases, the performance of classification can be improved by reducing the dimension of data, which is referred to as feature selection. Recently, a novel feature...

Automatic extraction of reference gene from literature in plants based on texting mining.

International journal of data mining and bioinformatics
Real-Time Quantitative Polymerase Chain Reaction (qRT-PCR) is widely used in biological research. It is a key to the availability of qRT-PCR experiment to select a stable reference gene. However, selecting an appropriate reference gene usually requir...

On mining incomplete medical datasets: Ordering imputation and classification.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: To collect medical datasets, it is usually the case that a number of data samples contain some missing values. Performing the data mining task over the incomplete datasets is a difficult problem. In general, missing value imputation can b...

An improved fuzzy C-means clustering algorithm for assisted therapy of chronic bronchitis.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Bronchitis is considered a non-specific inflammation in the peripheral tissues of the trachea and bronchus. Many therapeutic schemes for chronic bronchitis have been reported in existing research.