MOSClip: multi-omic and survival pathway analysis for the identification of survival associated gene and modules

DIABLO: an integrative approach for identifying key molecular drivers from multi-omic assays

(2019) Amrit Singh et al.   BIOINFORMATICS

NEMO: cancer subtyping by integration of partial multi-omic data

(2019) Nimrod Rappoport et al.   BIOINFORMATICS

Activated EphA2 Processing by MT1-MMP Is Involved in Malignant Transformation of Ovarian TumoursIn Vivo

(2018) YOKO TAKAHASHI et al.   ANTICANCER RESEARCH

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

(2018) Jianfang Liu et al.   CELL

Low levels of ADAM23 expression in epithelial ovarian cancer are associated with poor survival

(2018) Ruiqiong Ma et al.   PATHOLOGY RESEARCH AND PRACTICE

Perfluorooctanoic acid stimulates ovarian cancer cell migration, invasion via ERK/NF-κB/MMP-2/-9 pathway

(2018) Xiaozhao Li et al.   TOXICOLOGY LETTERS

Dysregulation of fibulin-5 and matrix metalloproteases in epithelial ovarian cancer

(2018) Dustin B. Manders et al.   Oncotarget

metaGraphite–a new layer of pathway annotation to get metabolite networks

(2018) Gabriele Sales et al.   BIOINFORMATICS

OUP accepted manuscript

(2018)   NUCLEIC ACIDS RESEARCH

Potential Mechanisms Connecting Purine Metabolism and Cancer Therapy

(2018) Jie Yin et al.   Frontiers in Immunology

Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival

(2018) Daniele Ramazzotti et al.   Nature Communications

Landscape of genomic alterations in high-grade serous ovarian cancer from exceptional long- and short-term survivors

(2018) S. Y. Cindy Yang et al.   Genome Medicine

A novel approach for data integration and disease subtyping

(2017) Tin Nguyen et al.   GENOME RESEARCH

Genomic consequences of aberrant DNA repair mechanisms stratify ovarian cancer histotypes

(2017) Yi Kan Wang et al.   NATURE GENETICS

A New View into the Regulation of Purine Metabolism: The Purinosome

(2017) Anthony M. Pedley et al.   TRENDS IN BIOCHEMICAL SCIENCES

mixOmics: An R package for ‘omics feature selection and multiple data integration

(2017) Florian Rohart et al.   PLoS Computational Biology

More Is Better: Recent Progress in Multi-Omics Data Integration Methods

(2017) Sijia Huang et al.   Frontiers in Genetics

Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers

(2017) Bin Zhu et al.   Scientific Reports

Simultaneous discovery of cancer subtypes and subtype features by molecular data integration

(2016) Thanh Le Van et al.   BIOINFORMATICS

Next generation sequencing: implications in personalized medicine and pharmacogenomics

(2016) Bahareh Rabbani et al.   Molecular BioSystems

A Metabolic Immune Checkpoint: Adenosine in Tumor Microenvironment

(2016) Akio Ohta   Frontiers in Immunology

MethylMix: an R package for identifying DNA methylation-driven genes

(2015) O. Gevaert   BIOINFORMATICS

Matrix metalloproteinases in stem cell regulation and cancer

(2015) Kai Kessenbrock et al.   MATRIX BIOLOGY

Whole–genome characterization of chemoresistant ovarian cancer

(2015) Ann-Marie Patch et al.   NATURE

Efficient Test and Visualization of Multi-Set Intersections

(2015) Minghui Wang et al.   Scientific Reports

Network-Based Integration of Disparate Omic Data To Identify "Silent Players" in Cancer

(2015) Matthew Ruffalo et al.   PLoS Computational Biology

TheRPackagesurvsimfor the Simulation of Simple and Complex Survival Data

(2015) David Moriña et al.   Journal of Statistical Software

Similarity network fusion for aggregating data types on a genomic scale

(2014) Bo Wang et al.   NATURE METHODS

Cancer Systems Biology: a peek into the future of patient care?

(2014) Henrica M. J. Werner et al.   Nature Reviews Clinical Oncology

Detection of Somatic TP53 Mutations in Tampons of Patients With High-Grade Serous Ovarian Cancer

(2014) Britt K. Erickson et al.   OBSTETRICS AND GYNECOLOGY

Personalized sequencing and the future of medicine: discovery, diagnosis and defeat of disease

(2014) Edward D Esplin et al.   PHARMACOGENOMICS

Bayesian consensus clustering

(2013) Eric F. Lock et al.   BIOINFORMATICS

Pattern discovery and cancer gene identification in integrated cancer genomic data

(2013) Qianxing Mo et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Cancer Genome Landscapes

(2013) B. Vogelstein et al.   SCIENCE

Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment

(2013) Wei Zhang et al.   PLoS Computational Biology

graphite - a Bioconductor package to convert pathway topology to gene network

(2012) Gabriele Sales et al.   BMC BIOINFORMATICS

Resistance to platinum-based chemotherapy is associated with epithelial to mesenchymal transition in epithelial ovarian cancer

(2012) Sergio Marchini et al.   EUROPEAN JOURNAL OF CANCER

Selecting the number of components in principal component analysis using cross-validation approximations

(2011) Julie Josse et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

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

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

Targeting genetic and epigenetic alterations in the treatment of serous ovarian cancer

(2011) Johanne I. Weberpals et al.   Cancer Genetics

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

(2011) David Venet et al.   PLoS Computational Biology

Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM

(2010) Charles J. Vaske et al.   BIOINFORMATICS

TGF-β: friend or foe? The role of TGF-β/SMAD signaling in epigenetic silencing of ovarian cancer and its implication in epigenetic therapy

(2010) Jian-Liang Chou et al.   EXPERT OPINION ON THERAPEUTIC TARGETS

Predictive and prognostic molecular markers for cancer medicine

(2010) Sunali Mehta et al.   Therapeutic Advances in Medical Oncology