1 2 3 4 5 6 | Tjct.core.plot(object = NULL, secondobj = NULL, pheno = NULL,
f1.name = "XX.10d.violin.pdf", f2.name = "XX.his.pdf",
f3.name = "XX.trj.heatmap.pdf", f3.height = 12,
f3.tittle = "cell type:Changing genes on phenotype trajectory\ntop6%",
table1.name = "XX.traj.up.genes-q0.05top0.06.csv",
table2.name = "XX.traj.dowb.genes-q0.05top0.06.csv", rankcut = 0.06)
|
object |
The first trajectory generated by Prepareforpseudoregress.g |
secondobj |
The regressed and bined object by Tjct.core.gen |
pheno |
This is the column we are interested for RePACT gotta be the same with previous Prepareforpseudoregress.g |
f1.name |
The pdf name of violin plot "XX.10d.violin.pdf". 10 d means 10 PCs used. |
f2.name |
The pdf name of histgram "XX.his.pdf". |
f3.name |
The pdf name of the heatmap "XX.trj.heatmap.pdf". |
f3.height |
The pdf heigh for heatmap, change this when the number of genes shown is changed, default is 12 |
f3.tittle |
The figure title for heatmap."cell type:Changing genes on phenotype trajectory\ntop6 \itemtable1.nameThe name of a csv file for upregulated genes"XX.traj.up.genes-q0.05top0.06.csv" \itemtable2.nameThe name of a csv file for upregulated genes"XX.traj.up.genes-q0.05top0.06.csv" \itemrankcutThe percentile to be shown on the heatmap. default is 0.06 |
A list of upregulated and downregulated trajectory genes. This function is to generate major plots for Repact analysis Tjct.core.plot(BMI.tjct.ob,BMI.tjct.2nd.ob,pheno="BMI",f1.name="BMI.tjct.10d.violin.pdf",f2.name="BMI.tjct.his.pdf",f3.name="BMI.tjct.trj.heatmap.pdf",f3.height=14,f3.tittle="cell type:Changing genes on phenotype trajectory\ntop6%",table1.name="BMI.tjct.traj.up.genes-q0.05Full.csv",table2.name="BMI.tjct.traj.dowb.genes-q0.05Full.csv",rankcut=0.05)
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