Dynamic classification using case-specific training cohorts outperforms static gene expression signatures in breast cancer

Secondary use of existing public microarray data to predict outcome for hepatocellular carcinoma

(2014) Curtis J. Wray et al.   JOURNAL OF SURGICAL RESEARCH

Jetset: selecting the optimal microarray probe set to represent a gene

(2011) Qiyuan Li et al.   BMC BIOINFORMATICS

RecurrenceOnline: an online analysis tool to determine breast cancer recurrence and hormone receptor status using microarray data

(2011) Balázs Győrffy et al.   BREAST CANCER RESEARCH AND TREATMENT

Challenges translating breast cancer gene signatures into the clinic

(2011) Britta Weigelt et al.   Nature Reviews Clinical Oncology

An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients

(2009) Balazs Györffy et al.   BREAST CANCER RESEARCH AND TREATMENT

Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes

(2009) Joel S. Parker et al.   JOURNAL OF CLINICAL ONCOLOGY

Gene-Expression Signatures in Breast Cancer

(2009) Christos Sotiriou et al.   NEW ENGLAND JOURNAL OF MEDICINE

Evaluation of Microarray Preprocessing Algorithms Based on Concordance with RT-PCR in Clinical Samples

(2009) Balazs Gyorffy et al.   PLoS One

Classification accuracy comparison: Hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority

(2009) Giles M. Foody   REMOTE SENSING OF ENVIRONMENT

Meta-analysis of gene expression profiles related to relapse-free survival in 1,079 breast cancer patients

(2008) Balazs Györffy et al.   BREAST CANCER RESEARCH AND TREATMENT