Longitudinal analysis of gene expression profiles using functional mixed-effects models

Autor: Berk, Maurice, Hemingway, Cheryl, Levin, Michael, Montana, Giovanni

Publikováno v: Advanced Statistical Methods for the Analysis of Large Data-Sets. Studies in Theoretical and Applied Statistics 2012, pp 57-67

In many longitudinal microarray studies, the gene expression levels in a random sample are observed repeatedly over time under two or more conditions. The resulting time courses are generally very short, high-dimensional, and may have missing values.

Externí odkaz: http://arxiv.org/abs/1302.5857

A Skew-t-Normal Multi-Level Reduced-Rank Functional PCA Model with Applications to Replicated `Omics Time Series Data Sets

Autor: Berk, Maurice, Montana, Giovanni

A powerful study design in the fields of genomics and metabolomics is the 'replicated time course experiment' where individual time series are observed for a sample of biological units, such as human patients, termed replicates. Standard practice for

Externí odkaz: http://arxiv.org/abs/1112.0152

Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature

Autor: Wright, Victoria J, Herberg, Jethro A, Kaforou, Myrsini, Shimizu, Chisato, Eleftherohorinou, Hariklia, Shailes, Hannah, Barendregt, Anouk M, Menikou, Stephanie, Gormley, Stuart, Berk, Maurice, Hoang, Long Truong, Tremoulet, Adriana H, Kanegaye, John T, Coin, Lachlan JM, Glode, Mary P, Hibberd, Martin, Kuijpers, Taco W, Hoggart, Clive J, Burns, Jane C, Levin, Michael, Inf, Immunopathol Resp Inflammatory, Dis, Pediat Emergency Med Kawasaki

Publikováno v: Wright, Victoria J; Herberg, Jethro A; Kaforou, Myrsini; Shimizu, Chisato; Eleftherohorinou, Hariklia; Shailes, Hannah; et al.(2018). Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature. JAMA PEDIATRICS, 172(10), e182293. doi: 10.1001/jamapediatrics.2018.2293. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/19p5z1wr

Importance:To date, there is no diagnostic test for Kawasaki disease (KD). Diagnosis is based on clinical features shared with other febrile conditions, frequently resulting in delayed or missed treatment and an increased risk of coronary artery aneu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::f6e9640d95e171ae4953f08d84ec4a45
http://www.escholarship.org/uc/item/19p5z1wr

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