Significance analysis of time course microarray experiments.

By John D. Storey, Wenzhong Xiao, Jeffrey T. Leek, R. Tompkins, Ronald W. Davis. Proceedings of the National Academy of Sciences of the United States of America, 2005

628 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/0592363262738fae47e8aa0c4bedad239cdf5057

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In Molecular Biology

Citations in the corpus

Functional additive regression (2015, neutral): “04 06 4v 1 [ m at h. ST ] 1 4 O ct 2 01 5 The Annals of Statistics 2015, Vol. 43, No. 5, 2296–2325 DOI: 10.1214/15-AOS1346 c© Institute of Mathematical Statistics, 2015”
A genomic storm in critically injured humans (2011, methodology): “Statistical analysis was performed to identify genes differentially expressed between injured patients and healthy subjects and between trauma patients with different clinical outcomes using the software program EDGE (Storey et al., 2005).”
Studying and modelling dynamic biological processes using time-series gene expression data (2012, result): “Splines composed of third-order polynomial functions. values) indicates that in at least some cases these statistical methods can improve the identification of differentially expressed genes 40 .”
High-content flow cytometry and temporal data analysis for defining a cellular signature of graft-versus-host disease. (2007, background): “Recently, several algorithms treating time as a continuous variable have been introduced to deal with this issue, including spline-based methods such as linear, cubic and B-splines (21-29).”
A multivariate empirical Bayes statistic for replicated microarray time course data (2006, methodology): “In this paper we only seek a statistic for ranking genes in the order of evidence against the null hypothesis; we do not hope to obtain raw or adjusted p-values as in [27].”
Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis (2007, methodology): “We applied a recently developed procedure for time-course significance analysis to identify differential expression with respect to age [8].”
Harmonics of Circadian Gene Transcription in Mammals (2009, methodology): “Therefore, to be most useful to future studies, we have employed the q-value statistic based on the concept of falsediscovery rate [27,28] to estimate the likelihood that a given transcript identified as cycling is in actuality non-rhythmic.”