This document has last been compiled on 2021-12-15 09:45:29.
We first extract genes with significant genotype difference in DE_Splitspline analysis (results/RemapYear123/DE_splitsplines). A gene is significant when its adjusted p-value < 0.05.
## Saving results of significant genotype difference of DE_splines to results/RemapYear123/interestingGeneSets/globalGeno/leaf_Postflowering_all.tsv
Then we extract upregulated or downregulated genes w.r.t their summarized t-statistic for each genotype in DE_timepoint analysis: \(sign(\frac{1}{N}\sum_{i=1}^{N}t_i)\times\frac{1}{N}\sum_{i=1}^{N}|t_i|\). \(N\) is the number of drought time points. These summarized t-statistics are computed in mRNA_DE_tps.Rmd. They are saved in results/RemapYear123/data.
A gene is marked as upregulated if its summarized t-statistics is greater than the 0.8 percentile over all summarized t-statistics over all genes and both genotypes.
A gene is marked as downregulated if its summarized t-statistics is less than the 0.2 percentile over all summarized t-statistics over all genes and both genotypes.
Note that these quantiles are taken over all genes, meaning genes that are not found significant too.
## The quantiles are 1.173 and -1.019
## Saving significant upregulated genes to results/RemapYear123/interestingGeneSets/globalGeno/leaf_Postflowering_upregulated.tsv
## Saving significant down_regulated genes to results/RemapYear123/interestingGeneSets/globalGeno/leaf_Postflowering_downregulated.tsv
We provide a summary of the number of genes in each case.
## case
## 1 leaf, Postflowering: Significant genotype difference in DE splines (adj p-value < 0.05)
## 2 leaf, Postflowering: Significant genotype difference in DE splines (adj p-value < 0.05) and both genotypes in the upper 0.2 quantile of t-statistic (1.173)
## 3 leaf, Postflowering: Significant genotype difference in DE splines (adj p-value < 0.05) and both genotypes in the lower 0.2 quantile of t-statistic (-1.019)
## counts
## 1 1973
## 2 269
## 3 298
For the selected genes with significant genotype difference in DE_Splitspline analysis, we also group them w.r.t whether they expressed only in a certain genotype, or both genotypes. They are saved in results/RemapYear123/interestingGeneSets/globalGeno. Note that “non-expressed” here is not our minimal threshold filter (which is applied jointly across both genotypes).
Here, “non-expressed” is defined per genotype and is whether the top 75% of the log-counts across samples (the 3rd quantile) is greater than x (see function classifyGenoExpression
used in mRNA_getFilteredGenes
). Currently it is x=8, and is a fairly stringent requirement for being considered expressed.
## Table of expressed/non-expressed in all genes:
## BT642Expressed
## RT430Expressed FALSE TRUE
## FALSE 15963 931
## TRUE 471 11307
## Table of expressed/non-expressed in these subsetted genes:
## BT642Expressed
## RT430Expressed FALSE TRUE
## FALSE 1001 114
## TRUE 86 772
## Saving genes with significant genotype difference as well as expressed in both genotypes to results/RemapYear123/interestingGeneSets/globalGeno/leaf_Postflowering_both_expressed.tsv
## Saving genes with significant genotype difference and not expressed in BT642 to results/RemapYear123/interestingGeneSets/globalGeno/leaf_Postflowering_BT642_not_expressed.tsv
## Saving genes with significant genotype difference and not expressed in RT430 to results/RemapYear123/interestingGeneSets/globalGeno/leaf_Postflowering_RT430_not_expressed.tsv
We provide a summary of the number of genes in each case.
## case
## 1 leaf, Postflowering: Significant genotype difference in DE splines (adj p-value < 0.05) and both genotypes expressed
## 2 leaf, Postflowering: Significant genotype difference in DE splines (adj p-value < 0.05) and BT642 not expressed
## 3 leaf, Postflowering: Significant genotype difference in DE splines (adj p-value < 0.05) and RT430 not expressed
## counts
## 1 772
## 2 86
## 3 114