Description Usage Arguments Details Value Author(s) References
A function testing differential expression between two conditions
1 | LPEseq.test(expr_x, expr_y, n.bin = 100, df = 10, d = 1.2)
|
expr_x |
a numeric vector or matrix in first condition |
expr_y |
a numeric vector or matrix in second condition |
n.bin |
the number of quantile bins (default 100) |
df |
degrees of freedom in smooth.spline() function (default 10) |
d |
expression difference in LPEseq.outlier() function (defalut 0.5; use 1.2 for biological replicates) |
See the reference paper
dataframe |
dataframe containing mean of each condition, local pooled variance, statistics, p-value, and BH adjusted p-value |
Jungsoo Gim
J. Gim and T. Park, 2014 (http://bibs.snu.ac.kr/software/LPEseq)
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