Publications

2016

  1. Helleputte T., Gramme P., Routine use of synovial biopsies for diagnosis and treatment guidance, European League Against Arthritis (EULAR) Congress, London, UK, 2016.
  2. Stephenne X., Bonnet N., Varma S., Helleputte T., Smets F., Veyckemans F., Eeckhoudt S., Hermans C., Sokal E., Evaluating risk of esophageal variceal bleed in children with cirrhosis and waitlisted for liver transplantation, Journal of Pediatric Gastroenterology and Nutrition, 2016.
    Associated online score calculator.
  3. Helleputte T., Gramme P., Routine use of synovial biopsies for centralized arthritis diagnosis & treatment guidance, Knowledge for Growth, Ghent, Belgium, 26 May 2016.

2015

  1. Bernard R. Lauwerys, Daniel Hernández-Lobato, Pierre Gramme, Julie Ducreux, Adrien Dessy, Isabelle Focant, Jérôme Ambroise, Bertrand Bearzatto, Adrien Nzeusseu Toukap, Benoît J. Van den Eynde, Dirk Elewaut, Jean-Luc Gala, Patrick Durez, Frédéric A. Houssiau, Thibault Helleputte, Pierre Dupont, Heterogeneity of Synovial Molecular Patterns in Patients with Arthritis, PLoS ONE, 30 April 2015.
    Download: Paper

2014

  1. Boidot R., Branders S., Helleputte T., Rubio L.I., Dupont P. and Feron O., A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling. Oncotarget, Vol. 5, No. 16, 2014.
    Download: Paper

2013

  1. Henrotin Y., Kraus V., Huebner J., Helleputte T., Deberg M., Baseline measurements of Coll2-1 and Coll2-1NO2 in urine are highly predictive of joint space narrowing in knee osteoarthritis. EULAR Congress, Madrid, Spain, 2013.
    Download: Abstract
  2. Helleputte T., Dessy A., Hernandez-Lobato D., Dupont P., Lauwerys B., RheumaKit, a new early diagnostic tool for patients with arthritis. Winner of the Inspiring Young Scientist Award, Knowledge for Growth, Ghent, Belgium, 30 May 2013.

2012

  1. Wanty C., Helleputte T., Smets F., Sokal EM., Stephenne X., Assessment of risk of bleeding from esophageal varices during management of biliary atresia in children. Journal of Pediatric Gastroenterology and Nutrition. December 20, 2012 (ePub ahead of print).
  2. Stephenne X., Wanty C., Helleputte T., Smets F., Sokal E., Assessment of risk of bleeding from esophageal varices during management of biliary atresia in children. 63rd Annual Meeting of the American Association for the Study of Liver Diseases (AASLD), Boston, Massachusetts, USA, November 9-13 2012.
  3. Helleputte T., Strategic Overview of Personalised Medicine. International Pharmaceutical Industry, Volume 4, No. 2, Spring 2012.
    Download: Paper

2011

  1. Helleputte T., Stable Feature Selection in Empty Spaces: Applications to Gene Profiling and Diagnosis from DNA Microarrays. LAP Lambert Academic Publishing, 06 May 2011, ISBN 978-3-8443-9014-8.
    Buy: Book
    Download: Figures

2010

  1. Helleputte T., Inductive Biases for Stable Feature Selection in High Dimensional Spaces: Applications to Gene Profiling and Diagnosis from DNA Microarrays. PhD Thesis, University of Louvain, September 2010.
    Download: Thesis (Print Version) | Thesis (Screen Version + Hyperlinks) | Slides | Talk Video
  2. Hernandez-Lobato, D., Hernandez-Lobato, J., Helleputte, T. and Dupont, P., Expectation Propagation for Bayesian Multi-task Feature Selection, European Conference on Machine Learning (ECML), Barcelona, Spain, September, 2010.
    Download: Paper
  3. Abeel T., Helleputte T., Van de Peer Y. and Saeys Y., Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. Bioinformatics Advance Access published on February 1, 2010. Bioinformatics, Volume 26, No. 3, pp. 392-398.
    Download: Paper | Supplementary Material

2009

  1. Helleputte T. and Dupont P., Feature Selection by Transfer Learning with Linear Regularized Models, European Conference on Machine Learning (ECML), Bled, Slovenia, September 7-11, 2009.
    Download: Paper | Poster | Slides| Talk Video:
  2. Abeel T., Helleputte T., Van de Peer Y., Dupont P., and Saeys Y., Robust biomarker identification for cancer diagnosis using ensemble feature selection methods, Third International Workshop on Machine Learning in Systems Biology (MLSB), pp. 135, Ljubljana, Slovenia, September 5-6, 2009.
    Download: Abstract | Poster
  3. Helleputte T. and Dupont P., Biomarker Selection by Transfer Learning with Linear Regularized Models, Third International Workshop on Machine Learning in Systems Biology (MLSB), pp. 159-160, Ljubljana, Slovenia, September 5-6, 2009.
    Download: Abstract | Poster
  4. Helleputte T., Maroye P., Le Jour et la Nuit – Idées reçues sur le folklore néo-louvaniste. ASBO Editor, 36 pages, September 2009.
    Download: Book
  5. Helleputte T. and Dupont P., Partially Supervised Feature Selection with Regularized Linear Models, 26th International Conference on Machine Learning (ICML), Montreal, Canada, June 14-18, 2009.
    Download: Paper | Poster | Slides| Talk video:

2008

  1. Louahed J., Gaulis S., Helleputte T., Dupont P., Gruselle O., Spatz A., Kruit Wim H J, Dreno B, Lehmann F, Brichard V, Clinical response to the MAGE-3 immunotherapeutic in metastatic melanoma patients is associated with a specific gene profile present prior to treatment, In: 33th European Society for Medical Oncology (ESMO) Congress, Stockholm, Sweden, September 12-16, 2008, 470129.
    Download: Abstract
  2. Helleputte T., Dupont P., Feature Selection and Classification of Microarray Data: Semi-Supervised Feature Selection Improves Stability. In: CIL Third Contact Day (ECML’08), Antwerp, Belgium, September 19, 2008.
    Download: Poster

2007

  1. Helleputte T., Dupont P., A Comparative Study of Normalization and Feature Selection Techniques for Breast Cancer Prognosis from Gene Expression. In: Benelux Bioinformatics Conference (BBC), KUL, Leuven, Belgium, November 12-13, 2007.
    Download: Poster
  2. Helleputte T., Microarray data classification for medical prognosis: Influence of sample vs feature normalization. In: CIL Second Contact Day, KUL, Leuven, Belgium, August 29, 2007.
    Download: Poster
  3. Helleputte T., Microarray data classification for medical prognosis. In: Fifth International Summer School of Pattern Recognition, Plymouth, UK, July 2007.
    Download: Poster

Software

  1. Helleputte T., LiblineaR: Linear Predictive Models Based On The Liblinear C/C++ Library, R package, 2010. Liblinear 1.94-2 released February 2015.
    Download: LiblineaR page on the R portal.

Patents

  1. Inventors: Feron O., Boidot R., Branders S., Dupont P., Helleputte T.
    Applicants: Université catholique de Louvain
    Patent Nb: WO/2015/015000
    Title: Signature of cycling hypoxia and use thereof for the prognosis of cancer.
    Pub. Date: 05 February 2015.

  2. Inventors: Dupont P., Gaulis S. and Helleputte T.
    Applicants: GlaxoSmithKline Biologicals S.A., Dupont P., Gaulis S. and Helleputte T.
    Patent Nb: WO/2010/029174
    Title: Method for classifying a cancer patient as responder or non-responder to immunotherapy.
    Pub. Date: 18 March 2010.

My Publications on Google Scholar.

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