Integrative network analysis of TCGA data for ovarian cancer

Learning Bayesian Networks with thebnlearnRPackage

(2015) Marco Scutari   Journal of Statistical Software

Direct role of nucleotide metabolism in C-MYC-dependent proliferation of melanoma cells

(2014) Sudha Mannava et al.   CELL CYCLE

Signaling Network Assessment of Mutations and Copy Number Variations Predict Breast Cancer Subtype-Specific Drug Targets

(2013) Naif Zaman et al.   Cell Reports

Reducing confounding and suppression effects in TCGA data: an integrated analysis of chemotherapy response in ovarian cancer

(2012) Fang-Han Hsu et al.   BMC GENOMICS

Learning Sparse Causal Gaussian Networks With Experimental Intervention: Regularization and Coordinate Descent

(2012) Fei Fu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Comprehensive molecular portraits of human breast tumours

(2012) Daniel C. Koboldt et al.   NATURE

ARID1A, a Factor That Promotes Formation of SWI/SNF-Mediated Chromatin Remodeling, Is a Tumor Suppressor in Gynecologic Cancers

(2011) B. Guan et al.   CANCER RESEARCH

MUC16 (CA125) regulates epithelial ovarian cancer cell growth, tumorigenesis and metastasis

(2011) Catherine Thériault et al.   GYNECOLOGIC ONCOLOGY

Loss of ARID1A-Associated Protein Expression is a Frequent Event in Clear Cell and Endometrioid Ovarian Cancers

(2011) William J. Lowery et al.   INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER

Integrated genomic analyses of ovarian carcinoma

(2011) D. Bell et al.   NATURE

Gene Expression Profile for Predicting Survival in Advanced-Stage Serous Ovarian Cancer Across Two Independent Datasets

(2010) Kosuke Yoshihara et al.   PLoS One

Learning Causal Bayesian Network Structures From Experimental Data

(2008) Byron Ellis et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Gene-expression profiling in epithelial ovarian cancer

(2008) Panagiotis A Konstantinopoulos et al.   Nature clinical practice. Oncology