Joachim Giard

Summary

Country: Belgium

Publications

  1. pmc Regression applied to protein binding site prediction and comparison with classification
    Joachim Giard
    Communications and Remote Sensing Laboratory, Universite Catholique de Louvain, Place du Levant 2, 1348 Louvain la Neuve, Belgium
    BMC Bioinformatics 10:276. 2009
  2. doi request reprint Fast surface-based travel depth estimation algorithm for macromolecule surface shape description
    Joachim Giard
    Communications and Remote Sensing Laboratory, Universite Catholique de Louvain, Place du Levant, 2 TELE, 1348 Louvain la Neuve, Belgium
    IEEE/ACM Trans Comput Biol Bioinform 8:59-68. 2011
  3. doi request reprint Identification of relevant properties for epitopes detection using a regression model
    Jérôme Ambroise
    Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Universite Catholique de Louvain, Place du Levant 2, Louvain Neuve 1348, Belgium
    IEEE/ACM Trans Comput Biol Bioinform 8:1700-7. 2011

Collaborators

Detail Information

Publications3

  1. pmc Regression applied to protein binding site prediction and comparison with classification
    Joachim Giard
    Communications and Remote Sensing Laboratory, Universite Catholique de Louvain, Place du Levant 2, 1348 Louvain la Neuve, Belgium
    BMC Bioinformatics 10:276. 2009
    ..For this purpose, we developed a patches based binding site localization method usable with either regression or classification tools...
  2. doi request reprint Fast surface-based travel depth estimation algorithm for macromolecule surface shape description
    Joachim Giard
    Communications and Remote Sensing Laboratory, Universite Catholique de Louvain, Place du Levant, 2 TELE, 1348 Louvain la Neuve, Belgium
    IEEE/ACM Trans Comput Biol Bioinform 8:59-68. 2011
    ..Experimental results show that compared to existing methods, the proposed algorithm achieves accurate estimations with considerably reduced processing times...
  3. doi request reprint Identification of relevant properties for epitopes detection using a regression model
    Jérôme Ambroise
    Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Universite Catholique de Louvain, Place du Levant 2, Louvain Neuve 1348, Belgium
    IEEE/ACM Trans Comput Biol Bioinform 8:1700-7. 2011
    ..The predictive performances of the method are assessed by computing the AUC using cross validation on two benchmark data sets and by computing the AUC and the precision for a third independent test set...