IPI59: An Actionable Biomarker to Improve Treatment Response in Serous Ovarian Carcinoma Patients
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J. Rader | K. Eng | W. Bradley | S. Ye | J. Choi | C. Kendziorski | K. Korthauer
[1] Bulent Ozpolat,et al. Molecular Biomarkers of Residual Disease after Surgical Debulking of High-Grade Serous Ovarian Cancer , 2014, Clinical Cancer Research.
[2] B. Jarzab,et al. Gene Expression Analysis in Ovarian Cancer – Faults and Hints from DNA Microarray Study , 2014, Front. Oncol..
[3] Christina Kendziorski,et al. Pathway index models for construction of patient‐specific risk profiles , 2013, Statistics in medicine.
[4] Benjamin Haibe-Kains,et al. curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome , 2013, Database J. Biol. Databases Curation.
[5] Noah Simon,et al. A Sparse-Group Lasso , 2013 .
[6] Jin Wang,et al. CePa: an R package for finding significant pathways weighted by multiple network centralities , 2013, Bioinform..
[7] K. Cibulskis,et al. Prognostically relevant gene signatures of high-grade serous ovarian carcinoma. , 2012, The Journal of clinical investigation.
[8] Jae K. Lee,et al. Multi-Gene Expression Predictors of Single Drug Responses to Adjuvant Chemotherapy in Ovarian Carcinoma: Predicting Platinum Resistance , 2012, PloS one.
[9] Benjamin J. Raphael,et al. Integrated Genomic Analyses of Ovarian Carcinoma , 2011, Nature.
[10] B. Karlan,et al. Gene expression profile of BRCAness that correlates with responsiveness to chemotherapy and with outcome in patients with epithelial ovarian cancer. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[11] Ituro Inoue,et al. Gene Expression Profile for Predicting Survival in Advanced-Stage Serous Ovarian Cancer Across Two Independent Datasets , 2010, PloS one.
[12] Udaya B. Kogalur,et al. High-Dimensional Variable Selection for Survival Data , 2010 .
[13] A. Shelling,et al. Predictive and prognostic molecular markers for cancer medicine , 2010, Therapeutic advances in medical oncology.
[14] P. Zhao,et al. The composite absolute penalties family for grouped and hierarchical variable selection , 2009, 0909.0411.
[15] Bin Nan,et al. Hierarchically penalized Cox regression with grouped variables , 2009 .
[16] Jacobus Pfisterer,et al. Role of surgical outcome as prognostic factor in advanced epithelial ovarian cancer: A combined exploratory analysis of 3 prospectively randomized phase 3 multicenter trials , 2009, Cancer.
[17] R. Tothill,et al. Novel Molecular Subtypes of Serous and Endometrioid Ovarian Cancer Linked to Clinical Outcome , 2008, Clinical Cancer Research.
[18] Laurent Ozbun,et al. A gene signature predicting for survival in suboptimally debulked patients with ovarian cancer. , 2008, Cancer research.
[19] Bin Nan,et al. Doubly Penalized Buckley–James Method for Survival Data with High‐Dimensional Covariates , 2008, Biometrics.
[20] Jian Huang,et al. Clustering threshold gradient descent regularization: with applications to microarray studies , 2007, Bioinform..
[21] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[22] Jeffrey T. Chang,et al. Oncogenic pathway signatures in human cancers as a guide to targeted therapies , 2006, Nature.
[23] Jiang Gui,et al. Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data , 2005, Bioinform..
[24] R. Tibshirani,et al. Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data , 2004, PLoS biology.
[25] Rafael A Irizarry,et al. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. , 2003, Biostatistics.
[26] H. Ryu,et al. Impact of Complete Cytoreduction Leaving No Gross Residual Disease Associated with Radical Cytoreductive Surgical Procedures on Survival in Advanced Ovarian Cancer , 2012, Annals of Surgical Oncology.
[27] Hongzhe Li,et al. Group additive regression models for genomic data analysis. , 2008, Biostatistics.
[28] 马文丽,et al. GEO(Gene Expression Omnibus):高通量基因表达数据库 , 2007 .
[29] Susumu Goto,et al. KEGG: Kyoto Encyclopedia of Genes and Genomes , 2000, Nucleic Acids Res..
[30] N. Dubrawsky. Cancer statistics , 1989, CA: a cancer journal for clinicians.