Index of papers in March 2015 that mention
  • expression data
David Lovell, Vera Pawlowsky-Glahn, Juan José Egozcue, Samuel Marguerat, Jürg Bähler
Abstract
Using yeast gene expression data we show how correlation can be misleading and present proportionality as a valid alternative for relative data.
Author Summary
Using timecourse yeast gene expression data , we show how correlation of relative abundances can lead to conclusions opposite to those drawn from absolute abundances, and that its value changes when different components are included in the analysis.
Introduction
To further illustrate how correlation can be misleading we applied it to absolute and relative gene expression data in fission yeast cells deprived of a key nutrient [6].
expression data is mentioned in 3 sentences in this paper.
Topics mentioned in this paper:
Alan L. Hutchison, Mark Maienschein-Cline, Andrew H. Chiang, S. M. Ali Tabei, Herman Gudjonson, Neil Bahroos, Ravi Allada, Aaron R. Dinner
Conclusions
In this paper, we compare methods for detecting rhythmic time series in genome-wide expression data .
Discussion
These approaches are general and can be applied to detecting periodic behavior in a wide range of contexts, but we focus on time series representative of genome-wide expression data .
Discussion
[28] recently reviewed a number of earlier studies of rhythm detection methods and selected four algorithms for comparison (de Lichtenberg, Lomb-Scargle, ITK_CYCLE, and persistent homology) based on their mathematical properties and applicability to genome-wide expression data .
expression data is mentioned in 3 sentences in this paper.
Topics mentioned in this paper: