@ARTICLE{Bourbeillon2009,
  author = {Julie Bourbeillon and Catherine Garbay and Françoise Giroud},
  title = {Mass data exploration in oncology: An information synthesis approach.},
  journal = {Journal of Biomedical Informatics},
  year = {2009},
  month = {March},
  abstract = {New technologies and equipment allow for mass treatment of samples
	and research teams share acquired data on an always larger scale.
	In this context scientists are facing a major data exploitation problem.
	More precisely, using these data sets through data mining tools or
	introducing them in a classical experimental approach require a preliminary
	understanding of the information space, in order to direct the process.
	But acquiring this grasp on the data is a complex activity, which
	is seldom supported by current software tools. The goal of this paper
	is to introduce a solution to this scientific data grasp problem.
	Illustrated in the Tissue MicroArrays application domain, the proposal
	is based on the synthesis notion, which is inspired by Information
	Retrieval paradigms. The envisioned synthesis model gives a central
	role to the study the researcher wants to conduct, through the task
	notion. It allows for the implementation of a task-oriented Information
	Retrieval prototype system. Cases studies and user studies were used
	to validate this prototype system. It opens interesting prospects
	for the extension of the model or extensions towards other application
	domains.},
  doi = {10.1016/j.jbi.2009.02.007},
  institution = { - INRIA - Grenoble Universités, UMR 5217, LIG (Laboratoire d'Informatique
	de Grenoble). F38041 Grenoble, France.},
  pii = {S1532-0464(09)00027-6},
  pmid = {19258051},
  timestamp = {2009.04.08},
  url = {http://dx.doi.org/10.1016/j.jbi.2009.02.007}
}