Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization and Sample Classification of Cancer Gene Expression Data

vrmlgen: AnRPackage for 3D Data Visualization on the Web

(2015) Enrico Glaab et al.   Journal of Statistical Software

Feature Selection with theBorutaPackage

(2015) Miron B. Kursa et al.   Journal of Statistical Software

Rgtsp: a generalized top scoring pairs package for class prediction

(2011) V. Popovici et al.   BIOINFORMATICS

Extending pathways and processes using molecular interaction networks to analyse cancer genome data

(2011) Enrico Glaab et al.   BMC BIOINFORMATICS

Random KNN feature selection - a fast and stable alternative to Random Forests

(2011) Shengqiao Li et al.   BMC BIOINFORMATICS

Letter to the Editor: On the stability and ranking of predictors from random forest variable importance measures

(2011) K. K. Nicodemus   BRIEFINGS IN BIOINFORMATICS

Functional Network Construction inArabidopsisUsing Rule-Based Machine Learning on Large-Scale Data Sets

(2011) George W. Bassel et al.   PLANT CELL

Genome-wide network model capturing seed germination reveals coordinated regulation of plant cellular phase transitions

(2011) G. W. Bassel et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

TopoGSA: network topological gene set analysis

(2010) E. Glaab et al.   BIOINFORMATICS

A multilevel data integration resource for breast cancer study

(2010) Ettore Mosca et al.   BMC Systems Biology

RERG (Ras-like, oestrogen-regulated, growth-inhibitor) expression in breast cancer: a marker of ER-positive luminal-like subtype

(2010) Hany Onsy Habashy et al.   BREAST CANCER RESEARCH AND TREATMENT

Letter to the Editor: Stability of Random Forest importance measures

(2010) M. L. Calle et al.   BRIEFINGS IN BIOINFORMATICS

Tumor-infiltrating macrophages correlate with adverse prognosis and Epstein-Barr virus status in classical Hodgkin's lymphoma

(2010) P. Kamper et al.   HAEMATOLOGICA

Automated Alphabet Reduction for Protein Datasets

(2009) Jaume Bacardit et al.   BMC BIOINFORMATICS

Outcome prediction based on microarray analysis: a critical perspective on methods

(2009) Michalis Zervakis et al.   BMC BIOINFORMATICS

ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization

(2009) Enrico Glaab et al.   BMC BIOINFORMATICS

The proteins FABP7 and OATP2 are associated with the basal phenotype and patient outcome in human breast cancer

(2009) H. Zhang et al.   BREAST CANCER RESEARCH AND TREATMENT

Prediction of recursive convex hull class assignments for protein residues

(2008) Michael Stout et al.   BIOINFORMATICS

FACTA: a text search engine for finding associated biomedical concepts

(2008) Y. Tsuruoka et al.   BIOINFORMATICS

Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value

(2008) A.-L. Boulesteix et al.   BIOINFORMATICS

Merging two gene-expression studies via cross-platform normalization

(2008) Andrey A. Shabalin et al.   BIOINFORMATICS

Molecular profiling of classical Hodgkin lymphoma tissues uncovers variations in the tumor microenvironment and correlations with EBV infection and outcome

(2008) B. Chetaille et al.   BLOOD

WDR19 Expression is Increased in Prostate Cancer Compared with Normal Cells, but Low-Intensity Expression in Cancers is Associated with Shorter Time to Biochemical Failures and Local Recurrence

(2008) B. Lin et al.   CLINICAL CANCER RESEARCH

NELL2, a Neuron-Specific EGF-Like Protein, Is Selectively Expressed in Glutamatergic Neurons and Contributes to the Glutamatergic Control of GnRH Neurons at Puberty

(2008) Chang Man Ha et al.   NEUROENDOCRINOLOGY

Prediction of topological contacts in proteins using learning classifier systems

(2008) Michael Stout et al.   SOFT COMPUTING

Improving the scalability of rule-based evolutionary learning

(2008) Jaume Bacardit et al.   Memetic Computing