106 citations · 244 across the 7 of their papers we have counts for
7 papers
Prediction of miRNA-disease associations with a vector space model
Claude Pasquier, Julien Gardès
MicroRNAs play critical roles in many physiological processes. Their dysregulations are also closely related to the development and progression of various human diseases, including…
Biological data integration using Semantic Web technologies
Claude Pasquier
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…
PRED-CLASS: cascading neural networks for generalized protein classification and genome-wide applications
Claude Pasquier, Vasilis Promponas, Stavros Hamodrakas
A cascading system of hierarchical, artificial neural networks (named PRED-CLASS) is presented for the generalized classification of proteins into four distinct classes-transmembra…
A distributed editing environment for XML documents
Claude Pasquier, Laurent Théry
XML is based on two essential aspects: the modelization of data in a tree like structure and the separation between the information itself and the way it is displayed. XML structur…
CoPreTHi: a Web tool which combines transmembrane protein segment prediction methods
Vasilis Promponas, Giorgos Palaios, Claude Pasquier +2
CoPreTHi is a Java based web application, which combines the results of methods that predict the location of transmembrane segments in protein sequences into a joint prediction his…
A novel method for predicting transmembrane segments in proteins based on a statistical analysis of the SwissProt database: the PRED-TMR algorithm
Claude Pasquier, Vasilis Promponas, Giorgos Palaios +2
We present a novel method that predicts transmembrane domains in proteins using solely information contained in the sequence itself. The PRED-TMR algorithm described, refines a sta…