dc.contributor.author | Airoldi, Edoardo Maria | |
dc.contributor.author | Wang, Xiaopei | |
dc.date.accessioned | 2014-10-21T11:45:43Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Airoldi, Edoardo M., Xiaopei Wang, and Xiaodong Lin. 2013. “Multi-Way Blockmodels for Analyzing Coordinated High-Dimensional Responses.” Ann. Appl. Stat. 7 (4) (December): 2431–2457. | en_US |
dc.identifier.issn | 1932-6157 | en_US |
dc.identifier.uri | http://nrs.harvard.edu/urn-3:HUL.InstRepos:13064708 | |
dc.description.abstract | We consider the problem of quantifying temporal coordination between multiple high-dimensional responses. We introduce a family of multi-way stochastic blockmodels suited for this problem, which avoids preprocessing steps such as binning and thresholding com- monly adopted for this type of data, in biology. We develop two in- ference procedures based on collapsed Gibbs sampling and variational methods. We provide a thorough evaluation of the proposed methods on simulated data, in terms of membership and blockmodel estima- tion, predictions out-of-sample and run-time. We also quantify the effects of censoring procedures such as binning and thresholding on the estimation tasks. We use these models to carry out an empirical analysis of the functional mechanisms driving the coordination be- tween gene expression and metabolite concentrations during carbon and nitrogen starvation, in S. cerevisiae. | en_US |
dc.description.sponsorship | Statistics | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Mathematical Statistics | en_US |
dc.relation.isversionof | doi:10.1214/13-AOAS643 | en_US |
dash.license | OAP | |
dc.subject | High dimensional data, variational inference, molecular biology, yeast | en_US |
dc.title | Multi-way blockmodels for analyzing coordinated high-dimensional responses | en_US |
dc.type | Journal Article | en_US |
dc.description.version | Accepted Manuscript | en_US |
dc.relation.journal | The Annals of Applied Statistics | en_US |
dash.depositing.author | Airoldi, Edoardo Maria | |
dc.date.available | 2014-10-21T11:45:43Z | |
dc.identifier.doi | 10.1214/13-AOAS643 | * |
dash.contributor.affiliated | Airoldi, Edoardo | |