Matches in SemOpenAlex for { <https://semopenalex.org/work/W2951534032> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W2951534032 abstract "The analysis of high dimensional survival data is challenging, primarily due to the problem of overfitting which occurs when spurious relationships are inferred from data that subsequently fail to exist in test data. Here we propose a novel method of extracting a low dimensional representation of covariates in survival data by combining the popular Gaussian Process Latent Variable Model (GPLVM) with a Weibull Proportional Hazards Model (WPHM). The combined model offers a flexible non-linear probabilistic method of detecting and extracting any intrinsic low dimensional structure from high dimensional data. By reducing the covariate dimension we aim to diminish the risk of overfitting and increase the robustness and accuracy with which we infer relationships between covariates and survival outcomes. In addition, we can simultaneously combine information from multiple data sources by expressing multiple datasets in terms of the same low dimensional space. We present results from several simulation studies that illustrate a reduction in overfitting and an increase in predictive performance, as well as successful detection of intrinsic dimensionality. We provide evidence that it is advantageous to combine dimensionality reduction with survival outcomes rather than performing unsupervised dimensionality reduction on its own. Finally, we use our model to analyse experimental gene expression data and detect and extract a low dimensional representation that allows us to distinguish high and low risk groups with superior accuracy compared to doing regression on the original high dimensional data." @default.
- W2951534032 created "2019-06-27" @default.
- W2951534032 creator A5010134054 @default.
- W2951534032 creator A5021028666 @default.
- W2951534032 date "2014-06-03" @default.
- W2951534032 modified "2023-09-26" @default.
- W2951534032 title "Covariate dimension reduction for survival data via the Gaussian process latent variable model" @default.
- W2951534032 cites W1541825479 @default.
- W2951534032 cites W1697516274 @default.
- W2951534032 cites W1860392020 @default.
- W2951534032 cites W2021733365 @default.
- W2951534032 cites W2101095383 @default.
- W2951534032 cites W2103510282 @default.
- W2951534032 cites W2108193616 @default.
- W2951534032 cites W2120405375 @default.
- W2951534032 cites W2120579447 @default.
- W2951534032 cites W2136111243 @default.
- W2951534032 cites W2159370862 @default.
- W2951534032 cites W2949971467 @default.
- W2951534032 cites W2951741291 @default.
- W2951534032 cites W2995133996 @default.
- W2951534032 hasPublicationYear "2014" @default.
- W2951534032 type Work @default.
- W2951534032 sameAs 2951534032 @default.
- W2951534032 citedByCount "0" @default.
- W2951534032 crossrefType "posted-content" @default.
- W2951534032 hasAuthorship W2951534032A5010134054 @default.
- W2951534032 hasAuthorship W2951534032A5021028666 @default.
- W2951534032 hasConcept C105795698 @default.
- W2951534032 hasConcept C119043178 @default.
- W2951534032 hasConcept C119857082 @default.
- W2951534032 hasConcept C121332964 @default.
- W2951534032 hasConcept C124101348 @default.
- W2951534032 hasConcept C153180895 @default.
- W2951534032 hasConcept C154945302 @default.
- W2951534032 hasConcept C163716315 @default.
- W2951534032 hasConcept C184509293 @default.
- W2951534032 hasConcept C202444582 @default.
- W2951534032 hasConcept C22019652 @default.
- W2951534032 hasConcept C27931671 @default.
- W2951534032 hasConcept C33676613 @default.
- W2951534032 hasConcept C33923547 @default.
- W2951534032 hasConcept C41008148 @default.
- W2951534032 hasConcept C50644808 @default.
- W2951534032 hasConcept C61326573 @default.
- W2951534032 hasConcept C62520636 @default.
- W2951534032 hasConcept C70518039 @default.
- W2951534032 hasConcept C73555534 @default.
- W2951534032 hasConcept C97256817 @default.
- W2951534032 hasConceptScore W2951534032C105795698 @default.
- W2951534032 hasConceptScore W2951534032C119043178 @default.
- W2951534032 hasConceptScore W2951534032C119857082 @default.
- W2951534032 hasConceptScore W2951534032C121332964 @default.
- W2951534032 hasConceptScore W2951534032C124101348 @default.
- W2951534032 hasConceptScore W2951534032C153180895 @default.
- W2951534032 hasConceptScore W2951534032C154945302 @default.
- W2951534032 hasConceptScore W2951534032C163716315 @default.
- W2951534032 hasConceptScore W2951534032C184509293 @default.
- W2951534032 hasConceptScore W2951534032C202444582 @default.
- W2951534032 hasConceptScore W2951534032C22019652 @default.
- W2951534032 hasConceptScore W2951534032C27931671 @default.
- W2951534032 hasConceptScore W2951534032C33676613 @default.
- W2951534032 hasConceptScore W2951534032C33923547 @default.
- W2951534032 hasConceptScore W2951534032C41008148 @default.
- W2951534032 hasConceptScore W2951534032C50644808 @default.
- W2951534032 hasConceptScore W2951534032C61326573 @default.
- W2951534032 hasConceptScore W2951534032C62520636 @default.
- W2951534032 hasConceptScore W2951534032C70518039 @default.
- W2951534032 hasConceptScore W2951534032C73555534 @default.
- W2951534032 hasConceptScore W2951534032C97256817 @default.
- W2951534032 hasOpenAccess W2951534032 @default.
- W2951534032 hasRelatedWork W1558261509 @default.
- W2951534032 hasRelatedWork W2087962872 @default.
- W2951534032 hasRelatedWork W2100797482 @default.
- W2951534032 hasRelatedWork W2104552956 @default.
- W2951534032 hasRelatedWork W2253831701 @default.
- W2951534032 hasRelatedWork W2296416274 @default.
- W2951534032 hasRelatedWork W2311455220 @default.
- W2951534032 hasRelatedWork W2318456160 @default.
- W2951534032 hasRelatedWork W2595729061 @default.
- W2951534032 hasRelatedWork W2617020555 @default.
- W2951534032 hasRelatedWork W2758355465 @default.
- W2951534032 hasRelatedWork W2895878851 @default.
- W2951534032 hasRelatedWork W2899525457 @default.
- W2951534032 hasRelatedWork W2900374106 @default.
- W2951534032 hasRelatedWork W2952196978 @default.
- W2951534032 hasRelatedWork W2969349035 @default.
- W2951534032 hasRelatedWork W3004168008 @default.
- W2951534032 hasRelatedWork W3015353158 @default.
- W2951534032 hasRelatedWork W3021140834 @default.
- W2951534032 hasRelatedWork W3103271384 @default.
- W2951534032 isParatext "false" @default.
- W2951534032 isRetracted "false" @default.
- W2951534032 magId "2951534032" @default.
- W2951534032 workType "article" @default.