Mas-o-menos: a simple sign averaging method for discrimination in genomic data analysis
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Mas-o-menos: a simple sign averaging method for discrimination in genomic data analysis
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume 30, Issue 21, Pages 3062-3069
Publisher
Oxford University Press (OUP)
Online
2014-07-25
DOI
10.1093/bioinformatics/btu488
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Cross-study validation for the assessment of prediction algorithms
- (2014) Christoph Bernau et al. BIOINFORMATICS
- Modeling risk stratification in human cancer
- (2013) Thierry Rème et al. BIOINFORMATICS
- curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome
- (2013) Benjamin Frederick Ganzfried et al. Database-The Journal of Biological Databases and Curation
- High-Risk Ovarian Cancer Based on 126-Gene Expression Signature Is Uniquely Characterized by Downregulation of Antigen Presentation Pathway
- (2012) Kosuke Yoshihara et al. CLINICAL CANCER RESEARCH
- Combination of a Novel Gene Expression Signature with a Clinical Nomogram Improves the Prediction of Survival in High-Risk Bladder Cancer
- (2012) Markus Riester et al. CLINICAL CANCER RESEARCH
- A Molecular Taxonomy for Urothelial Carcinoma
- (2012) G. Sjodahl et al. CLINICAL CANCER RESEARCH
- A DNA Repair Pathway–Focused Score for Prediction of Outcomes in Ovarian Cancer Treated With Platinum-Based Chemotherapy
- (2012) Josephine Kang et al. JNCI-Journal of the National Cancer Institute
- A Three-Gene Model to Robustly Identify Breast Cancer Molecular Subtypes
- (2012) Benjamin Haibe-Kains et al. JNCI-Journal of the National Cancer Institute
- Multi-Gene Expression Predictors of Single Drug Responses to Adjuvant Chemotherapy in Ovarian Carcinoma: Predicting Platinum Resistance
- (2012) J. Stuart Ferriss et al. PLoS One
- Angiogenic mRNA and microRNA Gene Expression Signature Predicts a Novel Subtype of Serous Ovarian Cancer
- (2012) Stefan Bentink et al. PLoS One
- Survival Prediction Based on Compound Covariate under Cox Proportional Hazard Models
- (2012) Takeshi Emura et al. PLoS One
- Pathway index models for construction of patient-specific risk profiles
- (2012) Kevin H. Eng et al. STATISTICS IN MEDICINE
- Integrated genomic analyses of ovarian carcinoma
- (2011) D. Bell et al. NATURE
- A multigene predictor of outcome in glioblastoma
- (2011) H. Colman et al. NEURO-ONCOLOGY
- On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data
- (2011) Hajime Uno et al. STATISTICS IN MEDICINE
- Combined Gene Expression and Genomic Profiling Define Two Intrinsic Molecular Subtypes of Urothelial Carcinoma and Gene Signatures for Molecular Grading and Outcome
- (2010) David Lindgren et al. CANCER RESEARCH
- Gene Expression Profile ofBRCAness That Correlates With Responsiveness to Chemotherapy and With Outcome in Patients With Epithelial Ovarian Cancer
- (2010) Panagiotis A. Konstantinopoulos et al. JOURNAL OF CLINICAL ONCOLOGY
- Genomic Index of Sensitivity to Endocrine Therapy for Breast Cancer
- (2010) W. Fraser Symmans et al. JOURNAL OF CLINICAL ONCOLOGY
- An algorithm to discover gene signatures with predictive potential
- (2010) Robin M Hallett et al. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH
- Predictive value of progression-related gene classifier in primary non-muscle invasive bladder cancer
- (2010) Wun-Jae Kim et al. Molecular Cancer
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
- (2010) NATURE BIOTECHNOLOGY
- Tackling the widespread and critical impact of batch effects in high-throughput data
- (2010) Jeffrey T. Leek et al. NATURE REVIEWS GENETICS
- Gene Expression Profile for Predicting Survival in Advanced-Stage Serous Ovarian Cancer Across Two Independent Datasets
- (2010) Kosuke Yoshihara et al. PLoS One
- A Constrained Linear Estimator for Multiple Regression
- (2010) Clintin P. Davis-Stober et al. PSYCHOMETRIKA
- 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
- A prognostic gene expression index in ovarian cancer-validation across different independent data sets
- (2009) Carsten Denkert et al. JOURNAL OF PATHOLOGY
- A Gene Signature Predicting for Survival in Suboptimally Debulked Patients with Ovarian Cancer
- (2008) T. Bonome et al. CANCER RESEARCH
- The Humoral Immune System Has a Key Prognostic Impact in Node-Negative Breast Cancer
- (2008) M. Schmidt 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
- Higher criticism thresholding: Optimal feature selection when useful features are rare and weak
- (2008) D. Donoho et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started