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frohike's Gevaert [9 articles]

Recent papers posted to frohike's library by the author Gevaert. You can also see everyone's Gevaert.
  • Integration of microarray and textual data improves the prognosis prediction of breast, lung and ovarian cancer patients.
    Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing (2008), pp. 279-290.
  • A Framework for Elucidating Regulatory Networks Based on Prior Information and Expression Data
    Annals of the New York Academy of Sciences, Vol. 1115, No. 1. (December 2007), pp. 240-248.
    by Olivier Gevaert, Steven Van Vooren, Bart De Moor
  • Expression profiling to predict the clinical behaviour of ovarian cancer fails independent evaluation
    BMC Cancer, Vol. 8 (22 January 2008), 18.
    by Olivier Gevaert, Frank De Smet, Toon Van Gorp, Nathalie Pochet, Kristof Engelen, Frederic Amant, Bart De Moor, Dirk Timmerman, Ignace Vergote
  • OC147: Mathematical decision trees vs. clinician-based algorithms in the diagnosis of endometrial disease.
    Ultrasound Obstet Gynecol, Vol. 30, No. 4. (October 2007)
    posted to decision endometrial tree by frohike on 2007-10-06 11:22:18 as **
  • OP04.07: Predicting early pregnancy loss with functional linear discriminant analysis (FLDA).
    Ultrasound Obstet Gynecol, Vol. 30, No. 4. (October 2007)
    posted to discriminant flda pregnancies by frohike on 2007-10-06 11:21:48 as **
  • OC157: Optimizing variable selection and cost using a genetic algorithm for modeling adnexal masses with Bayesian networks.
    Ultrasound Obstet Gynecol, Vol. 30, No. 4. (October 2007)
    posted to bayesian cancer iota network ovarian by frohike on 2007-10-06 11:20:56 as **
  • Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks.
    Bioinformatics, Vol. 22, No. 14. (15 July 2006)
    by O Gevaert, FD Smet, D Timmerman, Y Moreau, BD Moor
  • Molecular profiling of platinum resistant ovarian cancer: use of the model in clinical practice.
    Int J Cancer, Vol. 119, No. 6. (15 September 2006)
    posted to cancer evaluation microarrays ovarian by frohike on 2006-10-31 11:19:04 as read
  • Predicting the outcome of pregnancies of unknown location: Bayesian networks with expert prior information compared to logistic regression
    Human reproduction, Vol. 21 (2006)
    posted to bayesian networks pregnancies by frohike on 2006-10-31 10:05:49 as **
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