Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 17, 2008BioinformaticsOpen Access

A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?

View Full Paper
Ask AI
Bookmark
Share

Authors

BHBenjamin Haibe‐KainsUniversity of TorontoCDChristine DesmedtBreast Cancer Research FoundationChristos SotiriouChristos SotiriouSemmelweis University

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Haibe‐Kains et al. (2008) studied this question.

synapsesocial.com/papers/69dab2df615cc0c8eaa3ce52https://doi.org/10.1093/bioinformatics/btn374
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Gene Expression Profiling in Breast Cancer: Understanding the Molecular Basis of Histologic Grade To Improve Prognosis2006 · 2,130 citations
  2. 2Population-Based Validation of the Prognostic Model ADJUVANT! for Early Breast Cancer2005 · 573 citations
  3. 3Breast cancer classification and prognosis based on gene expression profiles from a population-based study2003 · 2,009 citations
  4. 4Biological Processes Associated with Breast Cancer Clinical Outcome Depend on the Molecular Subtypes2008 · 848 citations
  5. 5Regression Models and Life-Tables1972 · 39,963 citations