Name
Title | ||
|---|---|---|
Infinite mixture-of-experts model for sparse survival regression with application to breast cancer. |
Abstract | ||
|---|---|---|
We present an infinite mixture-of-experts model to find an unknown number of sub-groups within a given patient cohort based on survival analysis. The effect of patient features on survival is modeled using the Cox's proportionality hazards model which yields a non-standard regression component. The model is able to find key explanatory factors (chosen from main effects and higher-order interactions) for each sub-group by enforcing sparsity on the regression coefficients via the Bayesian Group-Lasso.Simulated examples justify the need of such an elaborate framework for identifying sub-groups along with their key characteristics versus other simpler models. When applied to a breast-cancer dataset consisting of survival times and protein expression levels of patients, it results in identifying two distinct sub-groups with different survival patterns (low-risk and high-risk) along with the respective sets of compound markers.The unified framework presented here, combining elements of cluster and feature detection for survival analysis, is clearly a powerful tool for analyzing survival patterns within a patient group. The model also demonstrates the feasibility of analyzing complex interactions which can contribute to definition of novel prognostic compound markers. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1186/1471-2105-11-S8-S8 | BMC Bioinformatics |
Keywords | Field | DocType |
monte carlo method,cluster analysis,cohort studies,computer simulation,microarrays,algorithms,bayes theorem,breast cancer,regression analysis,bioinformatics,proportional hazards models,markov chains | Dirichlet process,Proportional hazards model,Regression,Regression analysis,Regression diagnostic,Computer science,Lasso (statistics),Factor regression model,Bioinformatics,Linear regression | Journal |
Volume | Issue | ISSN |
11 Suppl 8 | Suppl 8 | 1471-2105 |
Citations | PageRank | References |
13 | 0.42 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sudhir Raman | 1 | 77 | 4.99 |
| Thomas J. Fuchs | 2 | 343 | 22.48 |
| Peter J. Wild | 3 | 31 | 4.26 |
| Edgar Dahl | 4 | 13 | 0.42 |
| joachim m buhmann | 5 | 4363 | 730.34 |
| Volker Roth | 6 | 1142 | 111.35 |