frohike's De Moor:B [31 articles] Export

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	A taxonomy of epithelial human cancer and their metastases [My Copy] BMC Medical Genomics, Vol. 2, No. 1. (2009), 69. by Olivier Gevaert, Anneleen Daemen, Bart De Moor, Louis Libbrecht posted to taxonomy by frohike on 2009-12-17 19:00:32 as
	Intrinsic gene expression profiles of gliomas are a better predictor of survival than histology. [My Copy] Cancer research In Cancer Res, Vol. 69, No. 23. (1 December 2009), pp. 9065-9072. by Lonneke A. Gravendeel, Mathilde C. Kouwenhoven, Olivier Gevaert, et al.Johan J. de Rooi, Andrew P. Stubbs, J. Elza Duijm, Anneleen Daemen, Fonnet E. Bleeker, Linda B. Bralten, Nanne K. Kloosterhof, Bart De Moor, Paul H. Eilers, Peter J. van der Spek, Johan M. Kros, Peter A. Sillevis Smitt, Martin J. van den Bent, Pim J. French posted to microarray-data hopach glioma clustering brain-cancer by frohike on 2009-11-27 10:49:47 as along with 2 people srp33 klo
	Recurrent copy number alterations in BRCA1-mutated ovarian tumors alter biological pathways. [My Copy] Human mutation (2 October 2009) by Karin Leunen, Olivier Gevaert, Anneleen Daemen, et al.Vanessa Vanspauwen, Geneviève Michils, Bart De Moor, Philippe Moerman, Ignace Vergote, Eric Legius posted to ovarian-cancer pathway brca1 arraycgh by frohike on 2009-10-13 08:07:49 as along with 1 person rdiaz
	Density of small diameter sensory nerve fibres in endometrium: a semi-invasive diagnostic test for minimal to mild endometriosis. [My Copy] Human reproduction (Oxford, England) (18 August 2009), dep283. by A. Bokor, C. M. Kyama, L. Vercruysse, et al.A. Fassbender, O. Gevaert, A. Vodolazkaia, B. De Moor, V. Fülöp, T. D'Hooghe posted to nerve-fiber svm lssvm endometrium endometriosis classification by frohike on 2009-08-20 08:45:46 as
	Prediction of cancer outcome using DNA microarray technology: past, present and future [My Copy] Expert Opinion on Medical Diagnostics, Vol. 3, No. 2. (March 2009), pp. 157-165. by O. Gevaert, B. De Moor posted to microarray-technology arraycgh microarray microrna omics sequencing by frohike on 2009-08-07 10:24:35 as
	Molecular Response to Cetuximab and Efficacy of Preoperative Cetuximab-Based Chemoradiation in Rectal Cancer [My Copy] J Clin Oncol, Vol. 27, No. 17. (10 June 2009), pp. 2751-2757. by Annelies Debucquoy, Karin Haustermans, Anneleen Daemen, et al.Selda Aydin, Louis Libbrecht, Olivier Gevaert, Bart De Moor, Sabine Tejpar, William H. Mcbride, Freddy Penninckx, Pierre Scalliet, Christopher Stroh, Soetkin Vlassak, Christine Sempoux, Jean-Pascal Machiels posted to rectal-cancer microarray-data colorectal-cancer cetuximab proteomics signature by frohike on 2009-08-07 10:19:46 as
	DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli. [My Copy] Genome biology, Vol. 10, No. 3. (06 March 2009), R27. by Karen Lemmens, Tijl De Bie, Thomas Dhollander, et al.Sigrid C. De Keersmaecker, Inge M. Thijs, Geert Schoofs, Ami De Weerdt, Bart De Moor, Jos Vanderleyden, Julio Collado-Vides, Kristof Engelen, Kathleen Marchal posted to regulatory-network data-integration distiller tool by frohike on 2009-07-28 09:54:01 as along with 6 people enelkinsan druvus natstreet tvdbulck biomcgary dolchan
	ViTraM: visualization of transcriptional modules. [My Copy] Bioinformatics (Oxford, England), Vol. 25, No. 18. (15 September 2009), pp. 2450-2451. by Hong Sun, Karen Lemmens, Tim Van den Bulcke, Kristof Engelen, Bart De Moor, Kathleen Marchal posted to module visualization by frohike on 2009-07-08 20:57:40 as along with 4 people idonaldson natstreet TRHvidsten guhjy
	A kernel-based integration of genome-wide data for clinical decision support. [My Copy] Genome medicine, Vol. 1, No. 4. (3 April 2009) by Anneleen Daemen, Olivier Gevaert, Fabian Ojeda, et al.Annelies Debucquoy, Johan Ak A. Suykens, Christine Sempoux, Jean-Pascal P. Machiels, Karin Haustermans, Bart De Moor posted to svm kernel lssvm by frohike on 2009-05-06 13:16:23 as along with 4 people installe nicklynch daed inesdesantiago
	Least Squares Support Vector Machines [My Copy] (2002) by J. A. K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor, J. Vandewalle posted to lssvm by frohike on 2008-10-20 14:15:34 as
	Integrating microarray and proteomics data to predict the response on cetuximab in patients with rectal cancer. [My Copy] Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing (2008), pp. 166-177. by A. Daemen, O. Gevaert, T. De Bie, et al.A. Debucquoy, J. P. Machiels, B. De Moor, K. Haustermans posted to rectal-cancer microarray-proteomics data-integration cetuximab kernel svm by frohike on 2008-09-17 14:14:50 as along with 1 person jfr
	Integration of clinical and microarray data with kernel methods. [My Copy] Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, Vol. 2007 (2007), pp. 5411-5415. by A. Daemen, O. Gevaert, B. De Moor posted to microarray-data-analysis clinical-microarray data-integration kernel svm by frohike on 2008-09-17 14:10:44 as
	A genome-wide computational study of copy number variations to classify familial ovarian cancer. [My Copy] In Computational Intelligence in human cancer research (2008) by A. Daemen, O. Gevaert, K. Leunen, et al.V. Vanspauwen, G. Michils, E. Legius, I. Vergote, B. De Moor edited by P. Lisboa, A. Vellido posted to familial-ovarian-cancer arraycgh by frohike on 2008-08-12 10:37:41 as
	Independent Test Set Performance in the Prediction of Early Relapse in Ovarian Cancer with Gene Expression Profiles [My Copy] Clin Cancer Res, Vol. 11, No. 21. (1 November 2005), pp. 7958-7959. by Frank De Smet, Nathalie L. Pochet, Bart L. De Moor, et al.Toon Van Gorp, Dirk Timmerman, Ignace B. Vergote, Lynn C. Hartmann, Andrew I. Damokosh, Sebastian Hoersch posted to ovarian-cancer microarray by frohike on 2008-06-13 14:16:59 as along with 1 person capitall
	New models to predict depth of infiltration in endometrial carcinoma based on transvaginal sonography [My Copy] Ultrasound in Obstetrics and Gynecology, Vol. 27, No. 6. (June 2006), pp. 664-671. by F. De Smet, J. De Brabanter, T. Van den Bosch, et al.N. Pochet, F. Amant, C. Van Holsbeke, P. Moerman, B. De Moor, I. Vergote, D. Timmerman posted to no-tag clinical depth endometrial infiltration lssvm by frohike on 2008-04-11 10:16:27 as
	Integration of microarray and textual data improves the prognosis prediction of breast, lung and ovarian cancer patients. [My Copy] Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing (2008), pp. 279-290. by O. Gevaert, S. Van Vooren, B. de Moor posted to bayesian-network integration literature microarray by frohike on 2008-04-07 14:49:29 as along with 2 people and 1 group mitko jfr Bioinformatics
	A Framework for Elucidating Regulatory Networks Based on Prior Information and Expression Data [My Copy] 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 posted to bayesian-network dream integration microarray priors protein by frohike on 2008-04-07 14:48:49 as along with 1 person and 1 group guhjy Bioinformatics
	Expression profiling to predict the clinical behaviour of ovarian cancer fails independent evaluation [My Copy] BMC Cancer, Vol. 8 (22 January 2008), pp. 18-18. by Olivier Gevaert, Frank De Smet, Toon Van Gorp, et al.Nathalie Pochet, Kristof Engelen, Frederic Amant, Bart De Moor, Dirk Timmerman, Ignace Vergote posted to ovarian-cancer breast-cancer microarray platin platinum by frohike on 2008-04-07 14:48:19 as along with 1 person and 1 group jfr Bioinformatics
	Predicting the clinical behavior of ovarian cancer from gene expression profiles. [My Copy] Int J Gynecol Cancer, Vol. 16 Suppl 1 (b 2006), pp. 147-151. by F. De Smet, N. L. Pochet, K. Engelen, et al.T. Van Gorp, P. Van Hummelen, K. Marchal, F. Amant, D. Timmerman, B. L. De Moor, I. B. Vergote posted to ovarian-cancer microarray breast-cancer by frohike on 2008-03-25 13:37:10 as along with 1 person and 1 group poojamaj Bioinformatics
	SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms [My Copy] BMC Bioinformatics, Vol. 7, No. 1. (2006), 43. by Tim Van den Bulcke, Koenraad Van Leemput, Bart Naudts, et al.Piet van Remortel, Hongwu Ma, Alain Verschoren, Bart De Moor, Kathleen Marchal posted to learning network structure synthetic syntren by frohike on 2008-02-20 14:03:11 as along with 6 people poirel tonamswish ptrobajo Ayest tvdbulck ajgentles
	Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data. [My Copy] Artif Life, Vol. 14, No. 1. (2008), pp. 49-63. by Koenraad Van Leemput, Tim Van den Bulcke, Thomas Dhollander, Bart De Moor, Kathleen Marchal, Piet van Remortel posted to bayesian-network inference syntren by frohike on 2008-02-20 13:58:18 as along with 2 people tvdbulck ptrobajo
	OP04.07: Predicting early pregnancy loss with functional linear discriminant analysis (FLDA). [My Copy] Ultrasound Obstet Gynecol, Vol. 30, No. 4. (October 2007) by A. Daemen, C. Bottomley, O. Gevaert, B. De Moor, D. Timmerman, T. Bourne 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. [My Copy] Ultrasound Obstet Gynecol, Vol. 30, No. 4. (October 2007) by O. Gevaert, B. De Moor, D. Timmerman posted to ovarian-cancer breast-cancer bayesian-network iota network by frohike on 2007-10-06 11:20:56 as
	Gene prioritization through genomic data fusion [My Copy] Nat Biotech, Vol. 24, No. 5. (05 May 2006), pp. 537-544. by Stein Aerts, Diether Lambrechts, Sunit Maity, et al.Peter Van Loo, Bert Coessens, Frederik De Smet, Leon-Charles Tranchevent, Bart De Moor, Peter Marynen, Bassem Hassan, Peter Carmeliet, Yves Moreau posted to integration kernel protein by frohike on 2007-07-12 14:57:04 as along with 11 people and 2 groups carlk jandot daforerog saket jiny jfr balajis dchughes winterschlaefer barriot srp33 G4ID Genetics-of-Gambling
	Molecular profiling of platinum resistant ovarian cancer: use of the model in clinical practice. [My Copy] Int J Cancer, Vol. 119, No. 6. (15 September 2006), pp. 1511-1511. by O. Gevaert, N. Pochet, F. De Smet, et al.T. Van Gorp, B. De Moor, D. Timmerman, F. Amant, I. Vergote posted to ovarian-cancer breast-cancer microarray evaluation by frohike on 2006-10-31 11:19:04 as
	An algorithm including results of gray-scale and power Doppler ultrasound examination to predict endometrial malignancy in women with postmenopausal bleeding [My Copy] Ultrasound Obstet Gynecol, Vol. 20 (2002), pp. 370-376. by E. Epstein, L. Skoog, P. E. Isberg, et al.F. De Smet, B. De Moor, P. A. Olofsson, S. Gudmundsson, L. Valentin posted to curve roc by frohike on 2006-10-31 10:05:50 as
	Balancing false positives and false negatives for the detection of differential expression in malignancies [My Copy] British Journal of Cancer, Vol. 91 (2004), pp. 1160-1165. by F. De Smet, Y. Moreau, K. Engelen, D. Timmerman, I. Vergote, B. De Moor posted to curve roc by frohike on 2006-10-31 10:05:50 as
	Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction [My Copy] Bioinformatics, Vol. 20 (2004), pp. 3185-95. by N. Pochet, F. De Smet, J. Suykens, B. De Moor posted to no-tag macbeth microarray lssvm by frohike on 2006-10-31 10:05:50 as
	TXTGate: Profiling gene groups with text-based information [My Copy] Genome Biology, Vol. 5 (2004) by P. Glenisson, B. Coessens, S. Van Vooren, J. Mathys, Y. Moreau, B. De Moor posted to online text by frohike on 2006-10-31 10:05:49 as
	Predicting the outcome of pregnancies of unknown location: Bayesian networks with expert prior information compared to logistic regression [My Copy] Human reproduction, Vol. 21, No. 7. (2006), pp. 1824-1831. by O. Gevaert, F. De Smet, E. Kirk, et al.B. Van Calster, T. Bourne, S. Van Huffel, Y. Moreau, D. Timmerman, B. De Moor, G. Condous posted to bayesian-network pregnancies by frohike on 2006-10-31 10:05:49 as
	Using literature and data to learn Bayesian networks as clinical models of ovarian tumours. [My Copy] Artif Intell Med, Vol. 30 (2004), pp. 257-81. by P. Antal, G. Fannes, D. Timmerman, Y. Moreau, B. De Moor posted to no-tag ovarian-cancer breast-cancer bayesian-network integration literature text by frohike on 2006-10-31 10:05:49 as

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breast-cancer	240
microarray	92
microarray-data	81
bayesian-network	75
microarray-data-analysis	65
ovarian-cancer	61
proteomics	55
arraycgh	45
signature	43
network	39
database	39
prognosis	34
microrna	31
data-integration	31
pathway	30
snp	28
mirna	28
sequencing	27
cnv	26
lung-cancer	25
mutation	24
integration	22
epigenomics	21
biomarker	21
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survival	20
mass-spectrometry	19
human	19
expo	19
regulatory	18
methylation	18
metabolomics	16
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metastasis	16
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svm	15
gene	15
seldi	14
disease-network	14
priors	14
affymetrix	13
second-generation-sequencing	13
protein-interaction-network	13
cetuximab	13
alternative-splicing	13
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methylome	12
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hox	2
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gallen	2
ann	2
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syntren	2
bind	2
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il4	1
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chasm	1
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mir-124	1
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clr	1
nfkb1	1
rna	1
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gynecology	1
hefalmp	1
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hub	1
distiller	1
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polonator	1
kc-smart	1
3d-structure	1
acgh	1
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wheeler	1
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necrosis	1
abca8	1
adnexal	1
fgfr7	1
drosophila_melanogaster	1
next-generation	1
p-value	1

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