genetic

A numeric. The P value of F1_vs_P1 (Treatment:F1; Control:P1).

pv11

A numeric. The P value of F1_vs_P2 (Treatment:F1; Control:P2)

pv12

A numeric. The P value of P2_vs_P1 (Treatment:P2; Control:P1)

pv21

A numeric. The Log2(FoldChange) value of F1_vs_P1 (Treatment:F1; Control:P1)

fc11

A numeric. The Log2(FoldChange) value of F1_vs_P2 (Treatment:F1; Control:P2)

fc12

A numeric. The Log2(FoldChange) value of P2_vs_P1 (Treatment:P2; Control:P1)

fc21

A numeric. Filtration criteria of P value for Classification.

Pvalue

The input data is generated from the analysis result of DESeq2.

The most important function of the R package is the genetic effects analysis of small RNA in hybrid plants via two methods, and at the same time, it provides various forms of graph related to data characteristics and expression analysis. In terms of two classification methods, one is the calculation of the additive (a) and dominant (d), the other is the evaluation of expression level dominance by comparing the total expression of the small RNA in progeny with the expression level in the parent species.

genetic: Classification for 12 expression patterns

Description

Usage

Arguments

Value