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Mining Gene Expression Data Using Domain Knowledge

Biology is now an information-intensive science and various research areas, like molecular biology, evolutionary biology or environmental biology, heavily depend on the availability and the efficient use of information. Data mining, that regroups …

GenMiner: Mining Non-Redundant Association Rules from Integrated Gene Expression Data and Annotations.

GenMiner is an implementation of association rule discovery dedicated to the analysis of genomic data. It allows the analysis of datasets integrating multiple sources of biological data represented as both discrete values, such as gene annotations, …

Biological Data Integration Using Semantic Web Technologies.

Current research in biology heavily depends on the availability and efficient use of information. In order to build new knowledge, various sources of biological data must often be combined. Semantic Web technologies, which provide a common framework …

Analyse des groupes de gènes co-exprimés: un outil automatique pour l'interprétation des expériences de biopuces (version étendue)

La technologie des biopuces permet de mesurer les niveaux d’expression de milliers de gènes dans différentes conditions biologiques générant ainsi des masses de données à analyser. De nos jours, l’interprétation de ces volumineux jeux de données à la …

Co-Expressed Gene Groups Analysis (CGGA): An Automatic Tool for the Interpretation of Microarray Experiments

Microarray technology produces vast amounts of data by measuring simultaneously the expression levels of thousands of genes under hundreds of biological conditions. Nowa- days, one of the principal challenges in bioinformatics is the interpretation …

THEA: Ontology-Driven Analysis of Microarray Data.

MOTIVATION Microarray technology makes it possible to measure thousands of variables and to compare their values under hundreds of conditions. Once microarray data are quantified, normalized and classified, the analysis phase is essentially a manual …

Evaluation of Annotation Strategies Using an Entire Genome Sequence

MOTIVATION: Genome-wide functional annotation either by manual or automatic means has raised considerable concerns regarding the accuracy of assignments and the reproducibility of methodologies. In addition, a performance evaluation of automated …

PRED-CLASS: Cascading Neural Networks for Generalized Protein Classification and Genome-Wide Applications.

A cascading system of hierarchical, artificial neural networks (named PRED-CLASS) is presented for the generalized classification of proteins into four distinct classes-transmembrane, fibrous, globular, and mixed-from information solely encoded in …

A Novel Tool for the Prediction of Transmembrane Protein Topology Based on a Statistical Analysis of the SwissProt Database: The OrienTM Algorithm

OrienTM is a computer software that utilizes an initial definition of transmembrane segments to predict the topology of transmembrane proteins from their sequence. It uses position-specific statistical information for amino acid residues which belong …

SmartTools: A Generator of Interactive Environments Tools

SmartTools is a development environment generator that provides a structure editor and semantic tools as main features. The well-known visitor pattern technique is commonly used for designing semantic analysis, it has been automated and extended. …