Bayesian modeling of factorial time-course data with applications to a bone aging gene expression study-Reference-Cited by-同舟云学术

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Bayesian modeling of factorial time-course data with applications to a bone aging gene expression study

Published:2020-06-01 Issue:10 Volume:48 Page:1730-1754
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Wu Joseph¹²,Gupta Mayetri³^ORCID,Hussein Amira I.⁴,Gerstenfeld Louis⁴

Affiliation:

1. Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA

2. Pfizer, Inc., Groton, CT, USA

3. School of Mathematics and Statistics, University of Glasgow, Glasgow, UK

4. Department of Orthopaedic Surgery, Boston University School of Medicine, Boston, MA, USA

Funder

National Institute of General Medical Sciences

Ellison Medical Foundation

NIAMS

National Center for Advancing Translational Sciences

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2020.1772733

Reference39 articles.

1. BET proteins in abnormal metabolism, inflammation, and the breast cancer microenvironment

2. BET Protein Function Is Required for Inflammation: Brd2 Genetic Disruption and BET Inhibitor JQ1 Impair Mouse Macrophage Inflammatory Responses

3. Clustering short time series gene expression data

4. Model-Based Clustering, Discriminant Analysis, and Density Estimation

5. Multimodal probabilistic generative models for time-course gene expression data and Gene Ontology (GO) tags

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3. An EWMA signed ranks control chart with reliable run length performances;Quality and Reliability Engineering International;2020-11-11

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