frohike's Gevaert:O [18 articles] Export

Recent papers posted to frohike's library by the author Gevaert:O. You can also see everyone's Gevaert:O.

	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
	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
	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
	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
	OC147: Mathematical decision trees vs. clinician-based algorithms in the diagnosis of endometrial disease. [My Copy] Ultrasound Obstet Gynecol, Vol. 30, No. 4. (October 2007) by T. Van den Bosch, A. Daemen, O. Gevaert, D. Timmerman posted to decision-tree endometrial by frohike on 2007-10-06 11:22:18 as
	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
	Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks [My Copy] Bioinformatics, Vol. 22, No. 14. (15 July 2006), pp. e184-e190. by O. Gevaert, F. D. Smet, D. Timmerman, Y. Moreau, B. D. Moor posted to breast-cancer bayesian-network integration network by frohike on 2007-09-18 16:10:46 as along with 7 people installe phoenixzxl jfr wnpx welchr macavity1g srp33
	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
	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

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breast-cancer	236
microarray	96
bayesian-network	68
ovarian-cancer	59
microarray-data	55
microarray-data-analysis	52
proteomics	49
signature	42
arraycgh	42
database	37
network	37
microrna	31
prognosis	31
pathway	29
sequencing	27
snp	27
mirna	26
cnv	25
data-integration	24
lung-cancer	24
integration	22
cancer	21
mutation	20
epigenomics	20
survival	19
expo	19
biomarker	19
clustering	18
human	18
mass-spectrometry	18
regulatory	17
methylation	17
rectal-cancer	16
gene	16
metastasis	15
classification	15
tissue-specific	15
metabolomics	15
cetuximab	13
second-generation-sequencing	13
protein-interaction-network	13
alternative-splicing	13
svm	12
disease	12
tool	12
interaction	12
drug	12
treatment	12
methylome	11
module	11
signatures	11
genetic	11
mirna-target-prediction	11
protein	11
seldi	11
priors	11
systems-biology	10
disease-network	10
validation	10
brca1	10
microarray-technology	10
affymetrix	10
online	10
geo	9
yeast	9
gsea	9
ismb2008	9
comment	9
meta-analysis	9
outcome	9
gene-expression	9
tumor	9
maldi	9
colorectal-cancer	8
cdna	8
ppi	8
subtypes	8
preprocessing	8
book	8
leukemia	8
egfr	8
oncology	8
cell-line	8
familial-ovarian-cancer	8
diagnosis	8
gene-network	7
technology	7
clinical	7
omics	7
metastases-signature	7
expression	7
tissue	7
mutual-information	7
genome-wide-association	7
transcription-factor	7
reverse-engineering-gene-network	7
genomic	7
grade	6
model	6
proliferation	6
bayesian	6
cancer-unknown-origin	6
benchmark	6
theoretical	6
metastases	6
luminal	6
selection	6
personalized-medicine	6
glioma	6
inference	6
tp53	6
multiple-testing	6
therapy	5
profile	5
70-gene	5
recurrence-score	5
sample-size-estimation	5
enrichment	5
roc	5
regulatory-network	5
regression	5
clinical-microarray	5
colon	5
21-gene	5
colon-cancer	5
hypoxia	5
kernel	5
liver	5
lssvm	5
cgh	5
iota	5
brain-cancer	4
antibody-microarray	4
oncomine	4
vandevijver	4
liver-cancer	4
geneset	4
bioconductor	4
brca2	4
sam	4
dynamic	4
aracne	4
hepatocellular-carcinoma	4
glioblastoma	4
for:jfr	4
myc	4
oncogene	4
estrogen-receptor	4
biclustering	4
p53	4
statistics	4
ggi	4
visualization	4
endometriosis	4
unsupervised	4
feature	4
flow-cytometry	4
id-translation	4
genotype	4
phenotype	4
hcc	4
prognostic	4
gwa	4
hprd	4
perspective	3
76-gene	3
platin	3
chip-chip	3
curve	3
bayesian-integration	3
decision-tree	3
histone	3
prostate-cancer	3
map	3
rectal	3
identification	3
protein-dna-interaction	3
somatic	3
eqtl	3
connectivity	3
vector	3
transbig	3
stem-cell	3
epithelial-mesenchymal-transition	3
molecular-classification	3
algorithms	3
brca	3
postn	3
transcriptome	3
proteome	3
mouse	3
lymphoma	3
rma	3
cytoscape	3
kegg	3
metaphasecgh	3
false-discovery	3
six-genes-model	3
criteria	3
paired-samples	3
causal	3
feature-selection	3
cell-cycle	3
hapmap	3
graphical	3
experiment-design	3
phosphorylation	3
serum	3
basal	3
platinum-resistance	3
genome	3
text	3
multi-cancer	3
census	3
differential-equation	3
genome-sequence	3
her2	3
pca	3
ai	3
histology	3
intrinsic	3
naive	3
literature	3
wound-signature	3
sequence	3
experimental-identification	3
website	3
intact	3
text-mining	3
chromatin	3
prostate	3
markov	3
lung-metastasis	3
amsterdam	2
editorial	2
solid-tumors	2
annotation	2
st	2
kinase	2
kras	2
medical-decision-support	2
psb2008	2
e-coli	2
epidemiology	2
ovacheck	2
endometrial	2
loss	2
protein-kinase	2
performance	2
pancreas	2
cancer-network	2
permutation	2
hepatology	2
imaging	2
values	2
missing	2
signaling	2
connectivity-map	2
malignant	2
tensor	2
r-package	2
sporadic	2
index	2
targetscan	2
hidden	2
entropy	2
conventional	2
motif	2
pptc	2
estrogen	2
mammaprint	2
cosmic	2
mirna-activity-score	2
webtool	2
interleukin	2
classifiers	2
t-test	2
differential-expression	2
multiclass	2
miranda	2
context	2
network-analysis	2
benign	2
text-prior	2
hupo	2
liquid-chromatography	2
syntren	2
feature-dependence	2
hox	2
synergy	2
biology	2
topology	2
tap	2
platinum	2
structure	2
hmm	2
nobel-prize	2
crohn	2
prediction	2
chemo	2
gcrma	2
trial	2
passenger-mutation	2
cytoscape-plugin	2
nbr1	2
masses	2
robustness	2
apc	2
metabolism	2
bind	2
genetic-algorithm	2
comparativecgh	2
biopax	2
bladder-cancer	2
mint	2
normal	2
wikipathways	2
aberration	2
for:pkonings	2
clinical-trial	2
cost	2
ode	2
vegf	2
error	2
oral-cancer	2
robo1	2
non-coding-rna	2
epistasis	2
modularity	2
svd	2
drug-network	2
normal-expression	2
itraq	2
recurrent	2
variable	2
r	2
transcriptomics	2
fold-change	2
graph	2
death	2
il6	2
variance-filtering	2
roc-curve	2
msigdb-geneset	2
fibroblast	2
gallen	2
bias	2
multi-scale-modeling	2
tailorx	2
tumor-suppressor	2
cdf	2
pregnancies	2
utr	2
rate	2
plasma-proteome-project	2
tiling-microarray	2
machine-learning	2
learning	2
first-maldi	2
intrinsic-genes	2
stroma	2
mmp-9	2
nearest-neighbor	2
solexa	2
ca125	2
normalization	2
mas5	2
fdr	2
node-negative	1
ferritin	1
tablebuttler	1
neo1	1
kidney-cancer	1
gene_regulatory_networks	1
encode	1
partial-least-squares	1
qtl	1
flow	1
segal	1
metalloproteinase	1
region	1
tnfalpha	1
stochasticity	1
bard1	1
hepatitis	1
distributed-data	1
automatic	1
cross-talk	1
endometrium	1
boolean_models	1
dna-binding	1
interactome	1
association	1
cytokines	1
likelihood-ratio-test	1
ascites	1
correction	1
hiv	1
comparing	1
dream	1
module-map	1
location	1
cancer-versus-normal	1
nih	1
mirz	1
pik3ca	1
cancer-biomarker	1
mitochondrial-genome	1
stage	1
variation	1
machine	1
regulatory-network-inference	1
anotation	1
cup	1
birc5	1
granger-causality	1
differentially-expressed-genes	1
glycosylation	1
copy	1
agendia	1
gastric-cancer	1
radiogenomics	1
tshr	1
screening	1
probesets	1
evaluation	1
fast-algorithm	1
1000genomes	1
gaussian-graph	1
arlts1	1
differentiation	1
flush	1
commentary	1
high-dimensionality	1
cis-regulation	1
rupture	1
cpg-islands	1
plasma	1
haplotype	1
absent-present-calls	1
multiple-reaction-monitoring	1
il4	1
teratoma	1
primer	1
clustering-validation	1
ann	1
therapy-response	1
chasm	1
npi	1
mir-124	1
prospective	1
clr	1
nfkb1	1
rna	1
constraint-based-analysis	1
gynecology	1
hefalmp	1
network-medicine	1
microarray-proteomics	1
hub	1
distiller	1
epiregulin	1
go	1
polonator	1
kc-smart	1
3d-structure	1
acgh	1
gene-ontology	1
graph_measures	1
hidden-variables	1
fai-index	1
motif_discovery	1
tab-delimited	1
wheeler	1
chromosomal	1
necrosis	1
abca8	1
adnexal	1
fgfr7	1
drosophila_melanogaster	1
next-generation	1
p-value	1
for:heliopais	1
wnt	1
reverse_engineering	1
parp	1
g-csf	1
esophageal-cancer	1
for:rdiaz	1
pita	1
renal-cancer	1
external	1
amphiregulin	1
bacterial	1
colorectal	1
spectral_analysis	1
reference-methylome	1
overtreatment	1
simpleaffy	1

frohike's Gevaert:O [18 articles] Export

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