Gevaert O - 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: gevaert o. 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

ImaGene: a web-based software platform for tumor radiogenomic evaluation and reporting.

Sukhadia SS, Tyagi A, Venkataraman V, Mukherjee P, Prasad P, Gevaert O, Nagaraj SH. Sukhadia SS, et al. Among authors: gevaert o. Bioinform Adv. 2022 Nov 10;2(1):vbac079. doi: 10.1093/bioadv/vbac079. eCollection 2022. Bioinform Adv. 2022. PMID: 36699376 Free PMC article.

3

Multimodal deep learning to predict prognosis in adult and pediatric brain tumors.

Steyaert S, Qiu YL, Zheng Y, Mukherjee P, Vogel H, Gevaert O. Steyaert S, et al. Among authors: gevaert o. Commun Med (Lond). 2023 Mar 29;3(1):44. doi: 10.1038/s43856-023-00276-y. Commun Med (Lond). 2023. PMID: 36991216 Free PMC article.

4

Molecular profiling of platinum resistant ovarian cancer: use of the model in clinical practice.

Gevaert O, Pochet N, De Smet F, Van Gorp T, De Moor B, Timmerman D, Amant F, Vergote I. Gevaert O, et al. Int J Cancer. 2006 Sep 15;119(6):1511; author reply 1512. doi: 10.1002/ijc.21985. Int J Cancer. 2006. PMID: 16619247 No abstract available.

5

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. Bioinformatics. 2006 Jul 15;22(14):e184-90. doi: 10.1093/bioinformatics/btl230. Bioinformatics. 2006. PMID: 16873470 Free article.

6

A framework for elucidating regulatory networks based on prior information and expression data.

Gevaert O, Van Vooren S, De Moor B. Gevaert O, et al. Ann N Y Acad Sci. 2007 Dec;1115:240-8. doi: 10.1196/annals.1407.002. Epub 2007 Oct 9. Ann N Y Acad Sci. 2007. PMID: 17925352

7

Integration of clinical and microarray data with kernel methods.

Daemen A, Gevaert O, De Moor B. Daemen A, et al. Among authors: gevaert o. 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

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. BMC Cancer. 2008 Jan 22;8:18. doi: 10.1186/1471-2407-8-18. BMC Cancer. 2008. PMID: 18211668 Free PMC article.

9

Integrating microarray and proteomics data to predict the response on cetuximab in patients with rectal cancer.

Daemen A, Gevaert O, De Bie T, Debucquoy A, Machiels JP, De Moor B, Haustermans K. Daemen A, et al. Among authors: gevaert o. Pac Symp Biocomput. 2008:166-77. Pac Symp Biocomput. 2008. PMID: 18229684 Free article. Clinical Trial.

10

Integration of microarray and textual data improves the prognosis prediction of breast, lung and ovarian cancer patients.

Gevaert O, Van Vooren S, de Moor B. Gevaert O, et al. Pac Symp Biocomput. 2008:279-90. doi: 10.1142/9789812776136_0028. Pac Symp Biocomput. 2008. PMID: 18229693 Free article.

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