De Moor B - Search Results

1

Intrinsic gene expression profiles of gliomas are a better predictor of survival than histology.

Gravendeel LA, Kouwenhoven MC, Gevaert O, de Rooi JJ, Stubbs AP, Duijm JE, Daemen A, Bleeker FE, Bralten LB, Kloosterhof NK, De Moor B, Eilers PH, van der Spek PJ, Kros JM, Sillevis Smitt PA, van den Bent MJ, French PJ. Gravendeel LA, et al. Among authors: de rooi jj, de moor b. Cancer Res. 2009 Dec 1;69(23):9065-72. doi: 10.1158/0008-5472.CAN-09-2307. Epub 2009 Nov 17. Cancer Res. 2009. PMID: 19920198

2

A seven-gene set associated with chronic hypoxia of prognostic importance in hepatocellular carcinoma.

van Malenstein H, Gevaert O, Libbrecht L, Daemen A, Allemeersch J, Nevens F, Van Cutsem E, Cassiman D, De Moor B, Verslype C, van Pelt J. van Malenstein H, et al. Among authors: de moor b. Clin Cancer Res. 2010 Aug 15;16(16):4278-88. doi: 10.1158/1078-0432.CCR-09-3274. Epub 2010 Jun 30. Clin Cancer Res. 2010. PMID: 20592013

3

A taxonomy of epithelial human cancer and their metastases.

Gevaert O, Daemen A, De Moor B, Libbrecht L. Gevaert O, et al. Among authors: de moor b. BMC Med Genomics. 2009 Dec 17;2:69. doi: 10.1186/1755-8794-2-69. BMC Med Genomics. 2009. PMID: 20017941 Free PMC article.

4

Prediction of lymph node involvement in breast cancer from primary tumor tissue using gene expression profiling and miRNAs.

Smeets A, Daemen A, Vanden Bempt I, Gevaert O, Claes B, Wildiers H, Drijkoningen R, Van Hummelen P, Lambrechts D, De Moor B, Neven P, Sotiriou C, Vandorpe T, Paridaens R, Christiaens MR. Smeets A, et al. Among authors: de moor b. Breast Cancer Res Treat. 2011 Oct;129(3):767-76. doi: 10.1007/s10549-010-1265-5. Epub 2010 Nov 30. Breast Cancer Res Treat. 2011. PMID: 21116709

5

Integration of clinical and microarray data with kernel methods.

Daemen A, Gevaert O, De Moor B. Daemen A, et al. Among authors: de moor b. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:5411-5. doi: 10.1109/IEMBS.2007.4353566. Annu Int Conf IEEE Eng Med Biol Soc. 2007. PMID: 18003232

6

Maximum Likelihood Estimation of GEVD: Applications in Bioinformatics.

Thomas M, Daemen A, De Moor B. Thomas M, et al. Among authors: de moor b. IEEE/ACM Trans Comput Biol Bioinform. 2014 Jul-Aug;11(4):673-80. doi: 10.1109/TCBB.2014.2304292. IEEE/ACM Trans Comput Biol Bioinform. 2014. PMID: 26356338

7

Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks.

Gevaert O, De Smet F, Timmerman D, Moreau Y, De Moor B. Gevaert O, et al. Among authors: de smet f, de moor b. Bioinformatics. 2006 Jul 15;22(14):e184-90. doi: 10.1093/bioinformatics/btl230. Bioinformatics. 2006. PMID: 16873470 Free article.

8

Expression profiling to predict the clinical behaviour of ovarian cancer fails independent evaluation.

Gevaert O, De Smet F, Van Gorp T, Pochet N, Engelen K, Amant F, De Moor B, Timmerman D, Vergote I. Gevaert O, et al. Among authors: de smet f, de moor b. BMC Cancer. 2008 Jan 22;8:18. doi: 10.1186/1471-2407-8-18. BMC Cancer. 2008. PMID: 18211668 Free PMC article.

9

Supervised classification of array CGH data with HMM-based feature selection.

Daemen A, Gevaert O, Leunen K, Legius E, Vergote I, De Moor B. Daemen A, et al. Among authors: de moor b. Pac Symp Biocomput. 2009:468-79. Pac Symp Biocomput. 2009. PMID: 19209723 Free article.

10

Development of a kernel function for clinical data.

Daemen A, De Moor B. Daemen A, et al. Among authors: de moor b. Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5913-7. doi: 10.1109/IEMBS.2009.5334847. Annu Int Conf IEEE Eng Med Biol Soc. 2009. PMID: 19965056

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