Lodewyk F A Wessels

Author Info

Name	Affiliation	Papers
LODEWYK F A WESSELS	The Netherlands Cancer Institute, Amsterdam, The Netherlands	22
Collaborators	Citations	PageRank
52	337	22.28
Referers	Referees	References
955	479	119

Search Limit

100955

Publications (22 rows)

Collaborators (52 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Principal component analysis of binary genomics data.	0	0.34	2019
PRECISE: a domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors	0	0.34	2019
iTOP: inferring the topology of omics data.	0	0.34	2018
Modelling Signalling Networks from Perturbation Data.	2	0.43	2018
Bayesian data integration for quantifying the contribution of diverse measurements to parameter estimates.	0	0.34	2018
Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysis.	0	0.34	2018
TANDEM: a two-stage approach to maximize interpretability of drug response models based on multiple molecular data types.	2	0.38	2016
A Critical Evaluation Of Network And Pathway-Based Classifiers For Outcome Prediction In Breast Cancer	11	0.68	2011
Analysis of mass spectrometry data using sub-spectra.	17	0.42	2009
Fewer permutations, more accurate P-values	27	1.72	2009
Knowledge driven decomposition of tumor expression profiles.	16	0.37	2009
Biclustering Sparse Binary Genomic Data.	12	0.99	2008
Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry data.	38	0.82	2008
Erratum to "Classification in the presence of class noise using a probabilistic kernel fisher method": [Pattern Recognition 40 (12) 3349-3357]	0	0.34	2008
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.	15	0.38	2007
Protein Complex Prediction Using an Integrative Bioinformatics Approach.	5	0.41	2007
Classification in the presence of class noise using a probabilistic Kernel Fisher method	31	1.17	2007
Artifacts of Markov blanket filtering based on discretized features in small sample size applications	4	0.41	2006
A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets.	59	1.56	2006
Multivariate gene selection: Does it help	2	0.43	2005
A protocol for building and evaluating predictors of disease state based on microarray data	36	3.11	2005
A Comparison of Genetic Network Models.	60	6.96	2001