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Full-Text Articles in Life Sciences
Cautions About The Reliability Of Pairwise Gene Correlations Based On Expression Data, Scott Powers, Matt Dejongh, Aaron A. Best, Nathan L. Tintle
Cautions About The Reliability Of Pairwise Gene Correlations Based On Expression Data, Scott Powers, Matt Dejongh, Aaron A. Best, Nathan L. Tintle
Faculty Publications
Background: Rapid growth in the availability of genome-wide transcript abundance levels through gene expression microarrays and RNAseq promises to provide deep biological insights into the complex, genome-wide transcriptional behavior of single-celled organisms. However, this promise has not yet been fully realized. Results: We find that computation of pairwise gene associations (correlation mutual information) across a set of 2782 total genome-wide expression samples from six diverse bacteria produces unexpectedly large variation in estimates of pairwise gene association regardless of the metric used, the organism under study, or the number and source of the samples. We pinpoint the cause to sampling bias. …
Data For Sandler Et Al. 2015, Amanda Sandler, Libby Megna, James Hayward, Shandelle Henson, Cynthia Tkachuck, Richard Tkachuck
Data For Sandler Et Al. 2015, Amanda Sandler, Libby Megna, James Hayward, Shandelle Henson, Cynthia Tkachuck, Richard Tkachuck
Faculty Publications
These data are archived for the paper "Every-other-day clutch-initiation synchrony in ring-billed gulls (Larus delawarensis)" by Sandler et al., submitted