Simulated data with 1000 genes measured under two different
experimental conditions 1 and 2. 100 genes among the 1000 were generated as
differentially expressed (DE) genes. The expression levels of all no DE genes
were generated by N(0,1) distribution in both conditions 1 and 2.
The DE genes were generated using the N(0,1) and N(μ_g,1) distributions
for conditions 1 and 2, respectively, with |μ_g|=Δ.
Parameter Δ sets the importance of gene g
, where the bigger Δ is,
the more important gene g
is. We considered Δ in \{1.5, 2, 3\}.
Each row g in simexpr
corresponds to a simulated gene.
1 |
A dataframe with 1000 rows and 62 variables:
It indicates whether gene g
is DE or not.
It contains Δ values.
These columns have the expression levels under experimental condition 1.
These columns have the expression levels under experimental condition 2.
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