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We measured the significance of the enrichment of liver over kidney in all genes using four different combinations of input data: replicated count, non-replicated count, replicated RPKM and non-replicated RPKM.
Although edgeR was developed for replicated count data, it was also run with non-replicated count data and performed similarly well.
edgeR is a Bioconductor software package for examining differential expression of replicated count data.
We used the R package edgeR, which is based on a negative binomial model, to examine differential expression of replicated count data.
We used edgeR, a program that determines differential expression of replicated count data considering biological and technical variability [ 21], to identify transcription units whose expression changes during the time course of TNFα treatment.
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Sampling by spatially replicated counts (point-count) is an increasingly popular method of estimating population size of organisms.
Thus, this model estimates abundance corrected for imperfect detection from temporally and spatially replicated counts, rather than occurrence from detection/nondetection observations as does the site-occupancy.
In a fragmented wetland landscape (approximately 211.60 km2), we measured the reproductive output of harriers for 3 years and conducted replicated counts of the adults and juveniles of other wetland bird species in wetland patches that varied in harrier reproductive output.
Cytotypes were obtained by excluding replicated counts (i.e. the same chromosome number for the same taxon).
We used Bayesian hierarchical models to estimate occupancy for 63 breeding bird species, while accounting for variable detection with data collected from 1941 temporally replicated point count stations.
All four methods agree similarly well with the benchmarking set when replicated read count data is used (Fig. 2a).
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