Source: https://github.com/markziemann/SurveyEnrichmentMethods

Intro

suppressPackageStartupMessages({
library("getDEE2")
library("DESeq2")
library("clusterProfiler")
library("org.Hs.eg.db")
library("mitch")
library("kableExtra")
library("eulerr")
})

In this piece, I will use the same list of genes to analyse GO and KEGG enrichment with DAVID and clusterprofiler in order to understand the discrepancies I’m seeing in the results.

These gene lists are from Chai et al, 2019.

The foreground list is composed of the downregulated genes shown in Supplementary Table 2, while the background list was obtained from Supplementary Table 1.

To get this to work, I will convert the gene symbols to Ensembl identifiers. There were only ~8000 expressed genes which is a bit low.

I will look at all gene sets with p<0.05, as that is what the authors of the original study did. I know, I know….

bgg <- readLines("PMC6463127_bgg.txt")
head(bgg)
## [1] "UBE2Q2" "ATRX"   "TCOF1"  "NSRP1"  "OPA1"   "ITGA8"
length(bgg)
## [1] 8090
geneinfo <- read.table("http://dee2.io/data/hsapiens/hsa_gene_info.tsv",header=TRUE)

bge <- geneinfo[which(geneinfo$GeneSymbol %in% bgg),"GeneID"]
bge <- bge[which(!is.na(bge))]
bge <- unique(bge)
length(bge)
## [1] 8261
writeLines(bge,"background.txt")

Now to do the same for the foreground list.

fgg <- readLines("PMC6463127_dn.txt")
head(fgg)
## [1] "DEGS1"    "TMBIM6"   "SSBP3"    "SNORA74A" "DPYD"     "ALG5"
length(fgg)
## [1] 202
fge <- geneinfo[which(geneinfo$GeneSymbol %in% fgg),"GeneID"]
fge <- fge[which(!is.na(fge))]
fge <- unique(fge)
length(fge)
## [1] 205
writeLines(fge,"foreground.txt")

DAVID analysis

I ran DAVID and was able to get similar terms with p<0.05 as compared to the original journal article.

dav <- read.table("david_bp_res.tsv",header=TRUE,sep="\t")

dav %>% kbl(caption="Enriched GO:BP terms obtained using DAVID") %>% kable_paper("hover", full_width = F)
Enriched GO:BP terms obtained using DAVID
Category Term Count X. PValue Genes List.Total Pop.Hits Pop.Total Fold.Enrichment Bonferroni Benjamini FDR
GOTERM_BP_DIRECT GO:0061077~chaperone-mediated protein folding 5 2.475248 0.0015479 ENSG00000127022, ENSG00000166794, ENSG00000162735, ENSG00000179218, ENSG00000122642 181 19 6549 9.521663 0.8295080 1 1
GOTERM_BP_DIRECT GO:0006465~signal peptide processing 4 1.980198 0.0021250 ENSG00000166562, ENSG00000140612, ENSG00000118363, ENSG00000138600 181 10 6549 14.472928 0.9119028 1 1
GOTERM_BP_DIRECT GO:0002474~antigen processing and presentation of peptide antigen via MHC class I 5 2.475248 0.0027392 ENSG00000127022, ENSG00000185825, ENSG00000167004, ENSG00000157020, ENSG00000179218 181 22 6549 8.223255 0.9563874 1 1
GOTERM_BP_DIRECT GO:0006506~GPI anchor biosynthetic process 4 1.980198 0.0037409 ENSG00000120697, ENSG00000185808, ENSG00000101464, ENSG00000174227 181 12 6549 12.060773 0.9861587 1 1
GOTERM_BP_DIRECT GO:0002576~platelet degranulation 6 2.970297 0.0097636 ENSG00000108679, ENSG00000135218, ENSG00000196937, ENSG00000084234, ENSG00000005893, ENSG00000197746 181 48 6549 4.522790 0.9999864 1 1
GOTERM_BP_DIRECT GO:0018279~protein N-linked glycosylation via asparagine 4 1.980198 0.0104523 ENSG00000120697, ENSG00000134910, ENSG00000163902, ENSG00000102595 181 17 6549 8.513487 0.9999939 1 1
GOTERM_BP_DIRECT GO:0044829~positive regulation by host of viral genome replication 3 1.485148 0.0104776 ENSG00000166794, ENSG00000124164, ENSG00000047188 181 6 6549 18.091160 0.9999940 1 1
GOTERM_BP_DIRECT GO:0036498~IRE1-mediated unfolded protein response 5 2.475248 0.0121196 ENSG00000100219, ENSG00000143870, ENSG00000149428, ENSG00000025796, ENSG00000132432 181 33 6549 5.482170 0.9999991 1 1
GOTERM_BP_DIRECT GO:0034975~protein folding in endoplasmic reticulum 3 1.485148 0.0144052 ENSG00000127022, ENSG00000167004, ENSG00000179218 181 7 6549 15.506709 0.9999999 1 1
GOTERM_BP_DIRECT GO:0050900~leukocyte migration 6 2.970297 0.0158110 ENSG00000172270, ENSG00000019582, ENSG00000147065, ENSG00000092068, ENSG00000116815, ENSG00000174059 181 54 6549 4.020258 1.0000000 1 1
GOTERM_BP_DIRECT GO:0006509~membrane protein ectodomain proteolysis 3 1.485148 0.0292415 ENSG00000162736, ENSG00000168615, ENSG00000138600 181 10 6549 10.854696 1.0000000 1 1
GOTERM_BP_DIRECT GO:0008543~fibroblast growth factor receptor signaling pathway 5 2.475248 0.0342643 ENSG00000133116, ENSG00000163882, ENSG00000151923, ENSG00000135486, ENSG00000196159 181 45 6549 4.020258 1.0000000 1 1
GOTERM_BP_DIRECT GO:0006888~ER to Golgi vesicle-mediated transport 7 3.465346 0.0441722 ENSG00000104388, ENSG00000185825, ENSG00000170348, ENSG00000124164, ENSG00000086598, ENSG00000138069, ENSG00000149428 181 94 6549 2.694428 1.0000000 1 1
GOTERM_BP_DIRECT GO:0030148~sphingolipid biosynthetic process 3 1.485148 0.0480322 ENSG00000143753, ENSG00000124164, ENSG00000067113 181 13 6549 8.349766 1.0000000 1 1
GOTERM_BP_DIRECT GO:0006898~receptor-mediated endocytosis 5 2.475248 0.0506994 ENSG00000108679, ENSG00000135218, ENSG00000179218, ENSG00000149428, ENSG00000197081 181 51 6549 3.547286 1.0000000 1 1
GOTERM_BP_DIRECT GO:0006486~protein glycosylation 4 1.980198 0.0522752 ENSG00000120697, ENSG00000134910, ENSG00000163902, ENSG00000102595 181 31 6549 4.668686 1.0000000 1 1
GOTERM_BP_DIRECT GO:0046135~pyrimidine nucleoside catabolic process 2 0.990099 0.0542189 ENSG00000188641, ENSG00000122643 181 2 6549 36.182320 1.0000000 1 1
GOTERM_BP_DIRECT GO:1903298~negative regulation of hypoxia-induced intrinsic apoptotic signaling pathway 2 0.990099 0.0542189 ENSG00000149428, ENSG00000139644 181 2 6549 36.182320 1.0000000 1 1
GOTERM_BP_DIRECT GO:0006611~protein export from nucleus 3 1.485148 0.0623955 ENSG00000124207, ENSG00000082898, ENSG00000179218 181 15 6549 7.236464 1.0000000 1 1
GOTERM_BP_DIRECT GO:0048208~COPII vesicle coating 4 1.980198 0.0656033 ENSG00000170348, ENSG00000086598, ENSG00000157020, ENSG00000138069 181 34 6549 4.256744 1.0000000 1 1
GOTERM_BP_DIRECT GO:0030433~ER-associated ubiquitin-dependent protein catabolic process 4 1.980198 0.0656033 ENSG00000239305, ENSG00000161057, ENSG00000147475, ENSG00000164953 181 34 6549 4.256744 1.0000000 1 1
GOTERM_BP_DIRECT GO:0006890~retrograde vesicle-mediated transport, Golgi to ER 5 2.475248 0.0671666 ENSG00000175582, ENSG00000170348, ENSG00000086598, ENSG00000087502, ENSG00000138069 181 56 6549 3.230564 1.0000000 1 1
GOTERM_BP_DIRECT GO:0006457~protein folding 7 3.465346 0.0736553 ENSG00000127022, ENSG00000167004, ENSG00000100380, ENSG00000143870, ENSG00000179218, ENSG00000122642, ENSG00000086061 181 107 6549 2.367068 1.0000000 1 1
GOTERM_BP_DIRECT GO:0007283~spermatogenesis 8 3.960396 0.0777930 ENSG00000185825, ENSG00000173698, ENSG00000110367, ENSG00000145375, ENSG00000123131, ENSG00000179218, ENSG00000086061, ENSG00000197081 181 135 6549 2.144137 1.0000000 1 1
GOTERM_BP_DIRECT GO:0042985~negative regulation of amyloid precursor protein biosynthetic process 2 0.990099 0.0802217 ENSG00000078596, ENSG00000136156 181 3 6549 24.121547 1.0000000 1 1
GOTERM_BP_DIRECT GO:1990000~amyloid fibril formation 2 0.990099 0.0802217 ENSG00000135218, ENSG00000148180 181 3 6549 24.121547 1.0000000 1 1
GOTERM_BP_DIRECT GO:0060907~positive regulation of macrophage cytokine production 2 0.990099 0.0802217 ENSG00000019582, ENSG00000135218 181 3 6549 24.121547 1.0000000 1 1
GOTERM_BP_DIRECT GO:0048205~COPI coating of Golgi vesicle 2 0.990099 0.0802217 ENSG00000170348, ENSG00000086598 181 3 6549 24.121547 1.0000000 1 1
GOTERM_BP_DIRECT GO:0060323~head morphogenesis 2 0.990099 0.0802217 ENSG00000182220, ENSG00000157216 181 3 6549 24.121547 1.0000000 1 1
GOTERM_BP_DIRECT GO:0001843~neural tube closure 4 1.980198 0.0855226 ENSG00000100714, ENSG00000167642, ENSG00000086598, ENSG00000164930 181 38 6549 3.808665 1.0000000 1 1
GOTERM_BP_DIRECT GO:0031647~regulation of protein stability 4 1.980198 0.0908613 ENSG00000100219, ENSG00000116030, ENSG00000100225, ENSG00000005893 181 39 6549 3.711007 1.0000000 1 1
GOTERM_BP_DIRECT GO:0006874~cellular calcium ion homeostasis 4 1.980198 0.0908613 ENSG00000152266, ENSG00000124164, ENSG00000179218, ENSG00000133112 181 39 6549 3.711007 1.0000000 1 1
GOTERM_BP_DIRECT GO:0006810~transport 7 3.465346 0.0962883 ENSG00000170348, ENSG00000003989, ENSG00000152661, ENSG00000086598, ENSG00000092068, ENSG00000088386, ENSG00000125304 181 115 6549 2.202402 1.0000000 1 1
GOTERM_BP_DIRECT GO:0010951~negative regulation of endopeptidase activity 4 1.980198 0.0963357 ENSG00000167642, ENSG00000084234, ENSG00000196104, ENSG00000156535 181 40 6549 3.618232 1.0000000 1 1
GOTERM_BP_DIRECT GO:0055114~oxidation-reduction process 10 4.950495 0.0982062 ENSG00000143753, ENSG00000100714, ENSG00000167004, ENSG00000008311, ENSG00000170271, ENSG00000188641, ENSG00000123131, ENSG00000116005, ENSG00000122884, ENSG00000143653 181 200 6549 1.809116 1.0000000 1 1

Clusterprofiler analysis

Here I’m using the enrichGO function to analyse the data. The algorithm is slightly different and the gene sets might be a different version. First GO biological processes.

cp <- enrichGO(gene = fge,  keyType = "ENSEMBL", universe = bge,
    OrgDb = org.Hs.eg.db, ont = "BP", pAdjustMethod = "BH", pvalueCutoff  = 0.05,
    qvalueCutoff  = 1, minGSSize = 2, readable = TRUE)

cp <- data.frame(cp)
nrow(cp)
## [1] 7
cp %>% kbl(caption="Enriched GO terms obtained using clusterProfiler with the correct background") %>% kable_paper("hover", full_width = F)
Enriched GO terms obtained using clusterProfiler with the correct background
ID Description GeneRatio BgRatio pvalue p.adjust qvalue geneID Count
GO:0006643 GO:0006643 membrane lipid metabolic process 12/195 72/7108 5.00e-07 0.0009010 0.0008525 FUCA1/DEGS1/SCCPDH/PIGG/PLPP1/SERINC1/PSAP/ESYT1/PIGU/VAPB/TECR/PIGP 12
GO:0034976 GO:0034976 response to endoplasmic reticulum stress 17/195 151/7108 7.00e-07 0.0009010 0.0008525 TMCO1/PDIA6/RNF103/MANF/DNAJB14/CANX/BCAP31/ERLIN2/TMEM67/HYOU1/TMBIM6/TMED2/UGGT2/PDIA3/VAPB/CALR/XBP1 17
GO:1901135 GO:1901135 carbohydrate derivative metabolic process 31/195 437/7108 8.00e-07 0.0009010 0.0008525 FUCA1/DPYD/NCSTN/NME7/SCCPDH/RAB1A/RNF103/UXS1/SEC13/RPN1/PIGG/NUDT9/SPOCK3/NT5C3A/PDK4/AASS/NUP205/CTPS2/OGT/ITM2A/OGN/PTH/STT3A/PSAP/ESYT1/ALG5/ITM2B/UGGT2/PIGU/TECR/PIGP 31
GO:0006664 GO:0006664 glycolipid metabolic process 7/195 35/7108 3.68e-05 0.0243273 0.0230165 FUCA1/SCCPDH/PIGG/PSAP/ESYT1/PIGU/PIGP 7
GO:1903509 GO:1903509 liposaccharide metabolic process 7/195 35/7108 3.68e-05 0.0243273 0.0230165 FUCA1/SCCPDH/PIGG/PSAP/ESYT1/PIGU/PIGP 7
GO:0002576 GO:0002576 platelet degranulation 9/195 62/7108 4.22e-05 0.0243273 0.0230165 SCCPDH/MANF/CD109/CD36/FAM3C/LAMP2/APLP2/PSAP/LGALS3BP 9
GO:0035966 GO:0035966 response to topologically incorrect protein 12/195 117/7108 7.97e-05 0.0393657 0.0372447 PDIA6/MANF/DNAJB14/CANX/DNAJA1/HYOU1/TMBIM6/TMED2/UGGT2/VAPB/CALR/XBP1 12

GOrilla analysis

The gene symbols were obtained from the supplementary files.

Here are the results:

gorilla <- read.table("gorilla_res.tsv",sep="\t",header=TRUE)

gorilla %>% kbl(caption="Enriched GO terms obtained using GOrilla with the correct background") %>% kable_paper("hover", full_width = F)
Enriched GO terms obtained using GOrilla with the correct background
GO.term Description P.value FDR.q.value Enrichment..N..B..n..b. Genes
GO:0006810 transport 0.00e+00 3.88e-05 1.78 (7396,1786,195,84) [+] Show genes
GO:0051234 establishment of localization 0.00e+00 4.52e-05 1.74 (7396,1848,195,85) [+] Show genes
GO:0051179 localization 0.00e+00 5.73e-05 1.66 (7396,2101,195,92) [+] Show genes
GO:0034976 response to endoplasmic reticulum stress 2.00e-07 6.45e-04 4.74 (7396,128,195,16) [+] Show genes
GO:0006643 membrane lipid metabolic process 7.00e-07 1.78e-03 6.52 (7396,64,195,11) [+] Show genes
GO:0071705 nitrogen compound transport 3.70e-06 7.68e-03 1.98 (7396,860,195,45) [+] Show genes
GO:0008104 protein localization 5.00e-06 8.88e-03 1.89 (7396,984,195,49) [+] Show genes
GO:0042886 amide transport 5.30e-06 8.35e-03 2.10 (7396,706,195,39) [+] Show genes
GO:0033036 macromolecule localization 7.60e-06 1.06e-02 1.86 (7396,999,195,49) [+] Show genes
GO:0015833 peptide transport 1.08e-05 1.36e-02 2.06 (7396,700,195,38) [+] Show genes
GO:0006664 glycolipid metabolic process 1.22e-05 1.39e-02 8.56 (7396,31,195,7) [+] Show genes
GO:1903509 liposaccharide metabolic process 1.22e-05 1.28e-02 8.56 (7396,31,195,7) [+] Show genes
GO:0016192 vesicle-mediated transport 1.24e-05 1.19e-02 1.95 (7396,815,195,42) [+] Show genes
GO:0071702 organic substance transport 1.30e-05 1.17e-02 1.86 (7396,960,195,47) [+] Show genes
GO:0015031 protein transport 1.97e-05 1.65e-02 2.03 (7396,691,195,37) [+] Show genes
GO:0002576 platelet degranulation 2.06e-05 1.61e-02 5.79 (7396,59,195,9) [+] Show genes
GO:0055080 cation homeostasis 2.50e-05 1.85e-02 2.92 (7396,247,195,19) [+] Show genes
GO:0045184 establishment of protein localization 2.82e-05 1.97e-02 1.97 (7396,730,195,38) [+] Show genes
GO:0098771 inorganic ion homeostasis 3.13e-05 2.07e-02 2.87 (7396,251,195,19) [+] Show genes
GO:0032940 secretion by cell 3.60e-05 2.26e-02 2.35 (7396,419,195,26) [+] Show genes
GO:0050801 ion homeostasis 3.80e-05 2.27e-02 2.74 (7396,277,195,20) [+] Show genes
GO:0006213 pyrimidine nucleoside metabolic process 5.79e-05 3.30e-02 11.16 (7396,17,195,5) [+] Show genes
GO:0045055 regulated exocytosis 1.02e-04 5.56e-02 2.48 (7396,321,195,21) [+] Show genes
GO:0046903 secretion 1.32e-04 6.92e-02 2.18 (7396,453,195,26) [+] Show genes
GO:0055065 metal ion homeostasis 1.65e-04 8.28e-02 2.82 (7396,215,195,16) [+] Show genes
GO:0006887 exocytosis 1.66e-04 8.00e-02 2.34 (7396,357,195,22) [+] Show genes
GO:1901564 organonitrogen compound metabolic process 2.39e-04 1.11e-01 1.39 (7396,2231,195,82) [+] Show genes
GO:0006457 protein folding 2.50e-04 1.12e-01 3.32 (7396,137,195,12) [+] Show genes
GO:0051604 protein maturation 2.61e-04 1.13e-01 3.83 (7396,99,195,10) [+] Show genes
GO:0098657 import into cell 2.77e-04 1.16e-01 2.60 (7396,248,195,17) [+] Show genes
GO:0009218 pyrimidine ribonucleotide metabolic process 2.78e-04 1.12e-01 11.67 (7396,13,195,4) [+] Show genes
GO:0019882 antigen processing and presentation 3.06e-04 1.20e-01 3.25 (7396,140,195,12) [+] Show genes
GO:1901135 carbohydrate derivative metabolic process 3.13e-04 1.19e-01 2.29 (7396,348,195,21) [+] Show genes
GO:0046467 membrane lipid biosynthetic process 3.13e-04 1.16e-01 6.32 (7396,36,195,6) [+] Show genes
GO:1900038 negative regulation of cellular response to hypoxia 3.40e-04 1.22e-01 18.96 (7396,6,195,3) [+] Show genes
GO:0006465 signal peptide processing 3.40e-04 1.19e-01 18.96 (7396,6,195,3) [+] Show genes
GO:0048194 Golgi vesicle budding 3.40e-04 1.15e-01 18.96 (7396,6,195,3) [+] Show genes
GO:0016485 protein processing 3.85e-04 1.27e-01 4.46 (7396,68,195,8) [+] Show genes
GO:0046907 intracellular transport 4.09e-04 1.31e-01 1.72 (7396,858,195,39) [+] Show genes
GO:0042592 homeostatic process 5.03e-04 1.58e-01 1.91 (7396,576,195,29) [+] Show genes
GO:0006886 intracellular protein transport 5.04e-04 1.54e-01 2.03 (7396,466,195,25) [+] Show genes
GO:0006984 ER-nucleus signaling pathway 5.07e-04 1.51e-01 7.29 (7396,26,195,5) [+] Show genes
GO:0046131 pyrimidine ribonucleoside metabolic process 5.09e-04 1.49e-01 10.11 (7396,15,195,4) [+] Show genes
GO:0034613 cellular protein localization 5.18e-04 1.48e-01 1.91 (7396,577,195,29) [+] Show genes
GO:0002474 antigen processing and presentation of peptide antigen via MHC class I 5.19e-04 1.45e-01 4.27 (7396,71,195,8) [+] Show genes
GO:0044419 interspecies interaction between organisms 5.48e-04 1.49e-01 1.90 (7396,579,195,29) [+] Show genes
GO:0030968 endoplasmic reticulum unfolded protein response 5.52e-04 1.47e-01 4.83 (7396,55,195,7) [+] Show genes
GO:0031293 membrane protein intracellular domain proteolysis 5.84e-04 1.53e-01 16.25 (7396,7,195,3) [+] Show genes
GO:0042984 regulation of amyloid precursor protein biosynthetic process 5.84e-04 1.50e-01 16.25 (7396,7,195,3) [+] Show genes
GO:0070727 cellular macromolecule localization 5.96e-04 1.50e-01 1.89 (7396,582,195,29) [+] Show genes
GO:0072507 divalent inorganic cation homeostasis 6.48e-04 1.59e-01 2.99 (7396,152,195,12) [+] Show genes
GO:0032469 endoplasmic reticulum calcium ion homeostasis 6.65e-04 1.60e-01 9.48 (7396,16,195,4) [+] Show genes
GO:0009247 glycolipid biosynthetic process 6.65e-04 1.57e-01 9.48 (7396,16,195,4) [+] Show genes
GO:0090114 COPII-coated vesicle budding 6.92e-04 1.61e-01 37.93 (7396,2,195,2) [+] Show genes
GO:0002366 leukocyte activation involved in immune response 8.09e-04 1.84e-01 2.30 (7396,297,195,18) [+] Show genes
GO:0051649 establishment of localization in cell 8.24e-04 1.84e-01 1.64 (7396,950,195,41) [+] Show genes
GO:2000241 regulation of reproductive process 8.41e-04 1.85e-01 5.29 (7396,43,195,6) [+] Show genes
GO:2000242 negative regulation of reproductive process 8.52e-04 1.84e-01 8.92 (7396,17,195,4) [+] Show genes
GO:0051445 regulation of meiotic cell cycle 8.52e-04 1.81e-01 8.92 (7396,17,195,4) [+] Show genes
GO:0055074 calcium ion homeostasis 8.88e-04 1.86e-01 3.07 (7396,136,195,11) [+] Show genes
GO:0051641 cellular localization 8.95e-04 1.84e-01 1.54 (7396,1205,195,49) [+] Show genes
GO:0002263 cell activation involved in immune response 9.09e-04 1.84e-01 2.28 (7396,300,195,18) [+] Show genes
GO:0034975 protein folding in endoplasmic reticulum 9.17e-04 1.82e-01 14.22 (7396,8,195,3) [+] Show genes
GO:1900037 regulation of cellular response to hypoxia 9.17e-04 1.80e-01 14.22 (7396,8,195,3) [+] Show genes
GO:0044794 positive regulation by host of viral process 9.17e-04 1.77e-01 14.22 (7396,8,195,3) [+] Show genes

Are the results consistent?

Session information

sessionInfo()
## R version 4.1.2 (2021-11-01)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 20.04.3 LTS
## 
## Matrix products: default
## BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0
## 
## locale:
##  [1] LC_CTYPE=en_AU.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_AU.UTF-8        LC_COLLATE=en_AU.UTF-8    
##  [5] LC_MONETARY=en_AU.UTF-8    LC_MESSAGES=en_AU.UTF-8   
##  [7] LC_PAPER=en_AU.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C       
## 
## attached base packages:
## [1] parallel  stats4    stats     graphics  grDevices utils     datasets 
## [8] methods   base     
## 
## other attached packages:
##  [1] eulerr_6.1.1                kableExtra_1.3.4           
##  [3] mitch_1.4.1                 org.Hs.eg.db_3.13.0        
##  [5] AnnotationDbi_1.54.1        clusterProfiler_4.0.5      
##  [7] DESeq2_1.32.0               SummarizedExperiment_1.22.0
##  [9] Biobase_2.52.0              MatrixGenerics_1.4.3       
## [11] matrixStats_0.61.0          GenomicRanges_1.44.0       
## [13] GenomeInfoDb_1.28.4         IRanges_2.26.0             
## [15] S4Vectors_0.30.2            BiocGenerics_0.38.0        
## [17] getDEE2_1.2.0              
## 
## loaded via a namespace (and not attached):
##   [1] shadowtext_0.0.9       fastmatch_1.1-3        systemfonts_1.0.3     
##   [4] plyr_1.8.6             igraph_1.2.8           lazyeval_0.2.2        
##   [7] splines_4.1.2          BiocParallel_1.26.2    ggplot2_3.3.5         
##  [10] digest_0.6.28          yulab.utils_0.0.4      htmltools_0.5.2       
##  [13] GOSemSim_2.18.1        viridis_0.6.2          GO.db_3.13.0          
##  [16] fansi_0.5.0            magrittr_2.0.1         memoise_2.0.0         
##  [19] Biostrings_2.60.2      annotate_1.70.0        graphlayouts_0.7.1    
##  [22] svglite_2.0.0          enrichplot_1.12.3      colorspace_2.0-2      
##  [25] rvest_1.0.2            blob_1.2.2             ggrepel_0.9.1         
##  [28] xfun_0.28              dplyr_1.0.7            crayon_1.4.2          
##  [31] RCurl_1.98-1.5         jsonlite_1.7.2         scatterpie_0.1.7      
##  [34] genefilter_1.74.1      survival_3.2-13        ape_5.5               
##  [37] glue_1.5.0             polyclip_1.10-0        gtable_0.3.0          
##  [40] zlibbioc_1.38.0        XVector_0.32.0         webshot_0.5.2         
##  [43] htm2txt_2.1.1          DelayedArray_0.18.0    scales_1.1.1          
##  [46] DOSE_3.18.3            DBI_1.1.1              GGally_2.1.2          
##  [49] Rcpp_1.0.7             viridisLite_0.4.0      xtable_1.8-4          
##  [52] gridGraphics_0.5-1     tidytree_0.3.6         bit_4.0.4             
##  [55] htmlwidgets_1.5.4      httr_1.4.2             fgsea_1.18.0          
##  [58] gplots_3.1.1           RColorBrewer_1.1-2     ellipsis_0.3.2        
##  [61] pkgconfig_2.0.3        reshape_0.8.8          XML_3.99-0.8          
##  [64] farver_2.1.0           sass_0.4.0             locfit_1.5-9.4        
##  [67] utf8_1.2.2             ggplotify_0.1.0        tidyselect_1.1.1      
##  [70] rlang_0.4.12           reshape2_1.4.4         later_1.3.0           
##  [73] munsell_0.5.0          tools_4.1.2            cachem_1.0.6          
##  [76] downloader_0.4         generics_0.1.1         RSQLite_2.2.8         
##  [79] evaluate_0.14          stringr_1.4.0          fastmap_1.1.0         
##  [82] yaml_2.2.1             ggtree_3.0.4           knitr_1.36            
##  [85] bit64_4.0.5            tidygraph_1.2.0        caTools_1.18.2        
##  [88] purrr_0.3.4            KEGGREST_1.32.0        ggraph_2.0.5          
##  [91] nlme_3.1-153           mime_0.12              aplot_0.1.1           
##  [94] xml2_1.3.2             DO.db_2.9              rstudioapi_0.13       
##  [97] compiler_4.1.2         beeswarm_0.4.0         png_0.1-7             
## [100] treeio_1.16.2          tibble_3.1.6           tweenr_1.0.2          
## [103] geneplotter_1.70.0     bslib_0.3.1            stringi_1.7.5         
## [106] highr_0.9              lattice_0.20-45        Matrix_1.3-4          
## [109] vctrs_0.3.8            pillar_1.6.4           lifecycle_1.0.1       
## [112] jquerylib_0.1.4        data.table_1.14.2      cowplot_1.1.1         
## [115] bitops_1.0-7           httpuv_1.6.3           patchwork_1.1.1       
## [118] qvalue_2.24.0          R6_2.5.1               promises_1.2.0.1      
## [121] KernSmooth_2.23-20     echarts4r_0.4.2        gridExtra_2.3         
## [124] gtools_3.9.2           MASS_7.3-54            assertthat_0.2.1      
## [127] GenomeInfoDbData_1.2.6 grid_4.1.2             ggfun_0.0.4           
## [130] tidyr_1.1.4            rmarkdown_2.11         ggforce_0.3.3         
## [133] shiny_1.7.1