Multi-way blockmodels for analyzing coordinated high-dimensional responses
| العنوان: | Multi-way blockmodels for analyzing coordinated high-dimensional responses |
|---|---|
| المؤلفون: | Xiaopei Wang, Xiaodong Lin, Edoardo M. Airoldi |
| المصدر: | Ann. Appl. Stat. 7, no. 4 (2013), 2431-2457 |
| بيانات النشر: | The Institute of Mathematical Statistics, 2013. |
| سنة النشر: | 2013 |
| مصطلحات موضوعية: | Statistics and Probability, FOS: Computer and information sciences, High dimensional data, Inference, High dimensional, yeast, computer.software_genre, 01 natural sciences, Statistics - Applications, Article, 010104 statistics & probability, 03 medical and health sciences, symbols.namesake, Preprocessor, molecular biology, Applications (stat.AP), 0101 mathematics, 030304 developmental biology, 0303 health sciences, Censoring (statistics), Thresholding, Modeling and Simulation, Simulated data, symbols, Data mining, Statistics, Probability and Uncertainty, computer, Gibbs sampling, variational inference |
| الوصف: | 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 commonly adopted for this type of data, in biology. We develop two inference 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 estimation, 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 between gene expression and metabolite concentrations during carbon and nitrogen starvation, in S. cerevisiae. Comment: Published in at http://dx.doi.org/10.1214/13-AOAS643Test the Annals of Applied Statistics (http://www.imstat.org/aoasTest/) by the Institute of Mathematical Statistics (http://www.imstat.orgTest) |
| وصف الملف: | application/pdf |
| اللغة: | English |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b444624f2a5e965165771d1545f4b37bTest https://projecteuclid.org/euclid.aoas/1387823326Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....b444624f2a5e965165771d1545f4b37b |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |