A network module-based method for identifying cancer prognostic signatures

Optimally discriminative subnetwork markers predict response to chemotherapy

(2011) P. Dao et al.   BIOINFORMATICS

Interactome Networks and Human Disease

(2011) Marc Vidal et al.   CELL

Hallmarks of Cancer: The Next Generation

(2011) Douglas Hanahan et al.   CELL

Prospective Molecular Marker Analyses ofEGFRandKRASFrom a Randomized, Placebo-Controlled Study of Erlotinib Maintenance Therapy in Advanced Non–Small-Cell Lung Cancer

(2011) Wolfram Brugger et al.   JOURNAL OF CLINICAL ONCOLOGY

Subnetwork State Functions Define Dysregulated Subnetworks in Cancer

(2011) Salim A. Chowdhury et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

Molecular biomarkers in non-small-cell lung cancer: a retrospective analysis of data from the phase 3 FLEX study

(2011) Kenneth J O'Byrne et al.   LANCET ONCOLOGY

Integrated genomic analyses of ovarian carcinoma

(2011) D. Bell et al.   NATURE

Breast-Cancer Screening

(2011) Ellen Warner   NEW ENGLAND JOURNAL OF MEDICINE

Time to Recurrence and Survival in Serous Ovarian Tumors Predicted from Integrated Genomic Profiles

(2011) Parminder K. Mankoo et al.   PLoS One

CAERUS: Predicting CAncER oUtcomeS Using Relationship between Protein Structural Information, Protein Networks, Gene Expression Data, and Mutation Data

(2011) Kelvin Xi Zhang et al.   PLoS Computational Biology

Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome

(2011) David Venet et al.   PLoS Computational Biology

Use of standard markers and incorporation of molecular markers into breast cancer therapy

(2010) Manfred Kaufmann et al.   CANCER

Gene Expression-Based Prognostic Signatures in Lung Cancer: Ready for Clinical Use?

(2010) J. Subramanian et al.   JNCI-Journal of the National Cancer Institute

Aurora Kinase Inhibitors - Rising Stars in Cancer Therapeutics?

(2010) A. A. Dar et al.   MOLECULAR CANCER THERAPEUTICS

Network medicine: a network-based approach to human disease

(2010) Albert-László Barabási et al.   NATURE REVIEWS GENETICS

Reactome: a database of reactions, pathways and biological processes

(2010) D. Croft et al.   NUCLEIC ACIDS RESEARCH

A human functional protein interaction network and its application to cancer data analysis

(2010) Guanming Wu et al.   GENOME BIOLOGY

A Gene Signature Predictive for Outcome in Advanced Ovarian Cancer Identifies a Survival Factor: Microfibril-Associated Glycoprotein 2

(2009) Samuel C. Mok et al.   CANCER CELL

Dynamic modularity in protein interaction networks predicts breast cancer outcome

(2009) Ian W Taylor et al.   NATURE BIOTECHNOLOGY

PANTHER version 7: improved phylogenetic trees, orthologs and collaboration with the Gene Ontology Consortium

(2009) Huaiyu Mi et al.   NUCLEIC ACIDS RESEARCH

Survival-Related Profile, Pathways, and Transcription Factors in Ovarian Cancer

(2009) Anne P. G Crijns et al.   PLOS MEDICINE

WGCNA: an R package for weighted correlation network analysis

(2008) Peter Langfelder et al.   BMC BIOINFORMATICS

Cell Cycle Dysregulation Influences Survival in High Risk Breast Cancer Patients

(2008) Robert Königsberg et al.   CANCER INVESTIGATION

A Gene Signature Predicting for Survival in Suboptimally Debulked Patients with Ovarian Cancer

(2008) T. Bonome et al.   CANCER RESEARCH

Novel Molecular Subtypes of Serous and Endometrioid Ovarian Cancer Linked to Clinical Outcome

(2008) R. W. Tothill et al.   CLINICAL CANCER RESEARCH

Expression of Aurora A (but Not Aurora B) Is Predictive of Survival in Breast Cancer

(2008) Y. Nadler et al.   CLINICAL CANCER RESEARCH

PID: the Pathway Interaction Database

(2008) Carl F. Schaefer et al.   NUCLEIC ACIDS RESEARCH