diff --git a/articles/workshop_isee_extension.html b/articles/workshop_isee_extension.html index 8bc07db..df6b208 100644 --- a/articles/workshop_isee_extension.html +++ b/articles/workshop_isee_extension.html @@ -77,7 +77,7 @@
app <- iSEE(sce)
-runApp(app, launch.browser = TRUE)
app <- iSEE(sce, initial = initial)
-runApp(app, launch.browser = TRUE)
library("org.Hs.eg.db")
-pathways <- select(org.Hs.eg.db, keys(org.Hs.eg.db, "ENSEMBL"), c("GOALL"), keytype = "ENSEMBL")
+pathways <- select(org.Hs.eg.db, head(keys(org.Hs.eg.db, "GOALL"), 100), c("ENSEMBL"), keytype = "GOALL")
pathways <- subset(pathways, ONTOLOGYALL == "BP")
pathways <- unique(pathways[, c("ENSEMBL", "GOALL")])
pathways <- merge(pathways, rowData(airway)[, c("ENSEMBL", "uniquifyFeatureNames")])
@@ -733,22 +734,22 @@ Pathway analysis#> Warning in preparePathwaysAndStats(pathways, stats, minSize, maxSize, gseaParam, : There are ties in the preranked stats (25.61% of the list).
#> The order of those tied genes will be arbitrary, which may produce unexpected results.
head(fgseaRes[order(pval), ])
-#> pathway pval padj log2err ES NES size
-#> <char> <num> <num> <num> <num> <num> <int>
-#> 1: GO:0071294 5.864480e-07 0.002487553 0.6594444 0.8124702 2.239911 19
-#> 2: GO:0061687 1.034325e-06 0.002487553 0.6435518 0.8176539 2.198248 17
-#> 3: GO:0071280 2.768611e-06 0.004439007 0.6272567 0.7601160 2.189482 22
-#> 4: GO:0035357 5.771481e-06 0.006535683 0.6105269 0.7534512 2.189955 23
-#> 5: GO:0097501 6.947335e-06 0.006535683 0.6105269 0.8018175 2.097399 16
-#> 6: GO:0043501 8.152619e-06 0.006535683 0.5933255 0.7557131 2.157048 21
+#> pathway pval padj log2err ES NES size
+#> <char> <num> <num> <num> <num> <num> <int>
+#> 1: GO:0006953 0.08086785 0.6105632 0.2220560 0.4207971 1.344516 36
+#> 2: GO:0008585 0.09074074 0.6105632 0.2020717 0.3246918 1.261056 94
+#> 3: GO:0022602 0.10074627 0.6105632 0.1918922 0.3846962 1.303461 45
+#> 4: GO:0002437 0.16279070 0.6105632 0.1585141 -0.3364185 -1.209283 58
+#> 5: GO:0002697 0.19527897 0.6105632 0.1446305 -0.2416966 -1.095904 307
+#> 6: GO:0006959 0.19870410 0.6105632 0.1437590 -0.2678407 -1.130609 158
#> leadingEdge
#> <list>
-#> 1: MT1X, MT....
-#> 2: MT1X, MT....
-#> 3: MT1X, MT....
-#> 4: ALOX15B,....
-#> 5: MT1X, MT....
-#> 6: TRIM63, ....
Similarly to the differential expression analysis, we embed the
results of the DESeq2
analysis within the airway
object, this time using the
@@ -815,7 +816,7 @@