Claude Pasquier

Latest

Computational Prediction of miRNA / mRNA Duplexomes at the Whole Human Genome Scale Reveals Functional Subnetworks of Interacting Genes with Embedded miRNA Annealing Motifs
Mining Evolutions of Complex Spatial Objects Using a Single-Attributed Directed Acyclic Graph
Extending a Fuzzy Polarity Propagation Method for Multi-Domain Sentiment Analysis with Word Embedding and POS Tagging
Computational Search of Hybrid Human/ SARS-CoV-2 dsRNA Reveals Unique Viral Sequences That Diverge from Other Coronavirus Strains
Transcriptome-Wide-Scale-Predicted dsRNAs Potentially Involved in RNA Homoeostasis Are Remarkably Excluded from Genes with No/Very Low Expression in All Developmental Stages
Population-Based Meta-Heuristic for Active Modules Identification
Contributions à la fouille de données complexes
Prediction of miRNA-Disease Associations Using an Evolutionary Tuned Latent Semantic Analysis.
The Mapping of Predicted Triplex DNA:RNA in the Drosophila Genome Reveals a Prominent Location in Development- and Morphogenesis-Related Genes
Attributed Graph Mining in the Presence of Automorphism
Prediction of miRNA-Disease Associations with a Vector Space Model.
Frequent Pattern Mining in Attributed Trees: Algorithms and Applications
Environmentally Selected Aphid Variants in Clonality Context Display Differential Patterns of Methylation in the Genome
Improving Pattern Discovery Relevancy by Deriving Constraints from Expert Models
Les modèles des experts au service de l’extraction de motifs pertinents
Extraction de motifs dans des graphes orientés attribués en présence d’automorphisme
Weighted Path as a Condensed Pattern in a Single Attributed DAG
Frequent Pattern Mining in Attributed Trees
Extraction de motifs condensés dans un unique graphe orienté acyclique attribué
Extraction de motifs fréquents dans des arbres attribués
Applying Semantic Web Technologies to Biological Data Integration and Visualization
Single Document Keyphrase Extraction Using Sentence Clustering and Latent Dirichlet Allocation
Mining Association Rule Bases from Integrated Genomic Data and Annotations (Extended Version)
Mining Gene Expression Data Using Domain Knowledge
GenMiner: Mining Non-Redundant Association Rules from Integrated Gene Expression Data and Annotations.
Mining Association Rule Bases from Integrated Genomic Data and Annotations
Biological Data Integration Using Semantic Web Technologies.
Analyse des groupes de gènes co-exprimés: un outil automatique pour l'interprétation des expériences de biopuces (version étendue)
GenMiner: Mining Informative Association Rules from Genomic Data
Interpreting Microarray Experiments via Co-Expressed Gene Groups Analysis
Analyse des groupes de gènes co-exprimés (AGGC): un outil automatique pour l'interprétation des expériences de biopuces
Co-Expressed Gene Groups Analysis (CGGA): An Automatic Tool for the Interpretation of Microarray Experiments
Exploratory Analysis of Cancer SAGE Data
THEA: Ontology-Driven Analysis of Microarray Data.
Analysis of Microarray Data with THEA
Distributed BLAST with ProActive
Evaluation of Annotation Strategies Using an Entire Genome Sequence
Aspect and XML-Oriented Semantic Framework Generator : Smarttools
PRED-CLASS: Cascading Neural Networks for Generalized Protein Classification and Genome-Wide Applications.
A Novel Tool for the Prediction of Transmembrane Protein Topology Based on a Statistical Analysis of the SwissProt Database: The OrienTM Algorithm
SmartTools: A Generator of Interactive Environments Tools
DAM-BIO: Bioinformatics Internet Workbench for Protein Analysis. New Modules and Applications to Biological Problems
PRED-CLASS: Bioinformatics Software for Generalized Protein Classification and Genome-Wide Applications
SmartTools: A Development Environment Generator Based on XML Technologies
A Distributed Editing Environment for XML Documents
A Workbench for Computational Analysis of Protein Sequence and Structure on the Internet
An Hierarchical Artificial Neural Network System for the Classification of Transmembrane Proteins
OrienTM: A Novel Method to Predict Transmembrane Protein Topology
PRED-TMR2: An Hierarchical Neural Network to Classify Proteins as Transmembrane and a Novel Method to Predict Transmembrane Segments
A Novel Method for Predicting Transmembrane Segments in Proteins Based on a Statistical Analysis of the SwissProt Database: The PRED-TMR Algorithm
CoPreTHi: A Web Tool Which Combines Transmembrane Protein Segment Prediction Methods.
A Web Server to Locate Periodicities in a Sequence
A Web Interface for FT: A Tool Dedicated to the Study of Periodicities in Sequences
CoPreTHi: A Program to Combine the Results of Transmembrane Protein Segment Prediction Methods
Gestion et conception de documents structurés par le contexte
BIBLE: A System for Design and Management of Context-Controlled Documents
Projet d'utilisation de la norme ODA à la Caisse des Dépôts et Consignations. Échange et génération de documents