date generated: 2021-02-09
Mitch performs unidimensional and multidimensional gene set enrichment analysis. The concept behind this dates to work by Cox and Mann (https://doi.org/10.1186/1471-2105-13-S16-S12). This implementation is suited to R based workflows of multi-omics datasets. This software was developed by Antony Kaspi and Mark Ziemann. Learn more about Mitch at the website: https://github.com/markziemann/Mitch
Here is the first few lines of the input profile.
## x
## STK25 15.96852
## CCDC80 15.13535
## TLR4 -11.86789
## TFB2M -10.84115
## SH2B3 -10.74626
## MRGBP -10.27617
Here are some metrics about the input data profile:
Profile metrics | |
---|---|
num_genesets | 5 |
num_genes_in_profile | 15982 |
duplicated_genes_present | 0 |
num_profile_genes_in_sets | 263 |
num_profile_genes_not_in_sets | 15719 |
Here is a plot of the input profiles. Note the dynamic ranges.
Here is the contour plot of the profile including all detected genes.
Here are some metrics about the gene sets used: GMT file of genesets:
Gene sets metrics | |
---|---|
num_genesets | 5 |
num_genesets_excluded | 0 |
num_genesets_included | 5 |
Significance is calculated by -log10(p-value). All points shown are FDR<0.05.
Top N= 5 gene sets
set | setSize | pANOVA | s.dist | p.adjustANOVA |
---|---|---|---|---|
tRNA processing in the mitochondrion | 24 | 3.01e-05 | -0.492 | 5.01e-05 |
Complex I biogenesis | 52 | 7.46e-05 | -0.318 | 9.32e-05 |
The citric acid (TCA) cycle and respiratory electron transport | 147 | 1.56e-08 | -0.270 | 7.79e-08 |
Respiratory electron transport, ATP synthesis by chemiosmotic coupling, and heat production by uncoupling proteins. | 103 | 4.32e-06 | -0.262 | 1.08e-05 |
Regulation of lipid metabolism by PPARalpha | 106 | 5.37e-04 | -0.195 | 5.37e-04 |
set | setSize | pANOVA | s.dist | p.adjustANOVA |
---|---|---|---|---|
tRNA processing in the mitochondrion | 24 | 3.01e-05 | -0.492 | 5.01e-05 |
Complex I biogenesis | 52 | 7.46e-05 | -0.318 | 9.32e-05 |
The citric acid (TCA) cycle and respiratory electron transport | 147 | 1.56e-08 | -0.270 | 7.79e-08 |
Respiratory electron transport, ATP synthesis by chemiosmotic coupling, and heat production by uncoupling proteins. | 103 | 4.32e-06 | -0.262 | 1.08e-05 |
Regulation of lipid metabolism by PPARalpha | 106 | 5.37e-04 | -0.195 | 5.37e-04 |
tRNA processing in the mitochondrion
5 | |
---|---|
set | tRNA processing in the mitochondrion |
setSize | 24 |
pANOVA | 3.01e-05 |
s.dist | -0.492 |
p.adjustANOVA | 5.01e-05 |
Top enriched genes
GeneID | Gene Rank |
---|---|
MT-ND2 | -8080 |
MT-CO2 | -7984 |
MT-ND1 | -7938 |
MT-CO1 | -7848 |
MT-ATP6 | -7777 |
MT-CO3 | -7751 |
MT-CYB | -7639 |
MT-ND5 | -7183 |
MT-ATP8 | -7080 |
MT-ND3 | -6630 |
MT-ND4L | -5673 |
MT-ND4 | -4961 |
MT-ND6 | -4202 |
MT-TP | -4196 |
MT-TW | -3435 |
MT-TT | -2837 |
ELAC2 | -2355 |
MT-RNR2 | -1452 |
MT-TA | -892 |
TRMT10C | -756 |
GeneID | Gene Rank |
---|---|
MT-ND2 | -8080 |
MT-CO2 | -7984 |
MT-ND1 | -7938 |
MT-CO1 | -7848 |
MT-ATP6 | -7777 |
MT-CO3 | -7751 |
MT-CYB | -7639 |
MT-ND5 | -7183 |
MT-ATP8 | -7080 |
MT-ND3 | -6630 |
MT-ND4L | -5673 |
MT-ND4 | -4961 |
MT-ND6 | -4202 |
MT-TP | -4196 |
MT-TW | -3435 |
MT-TT | -2837 |
ELAC2 | -2355 |
MT-RNR2 | -1452 |
MT-TA | -892 |
TRMT10C | -756 |
MT-RNR1 | -287 |
HSD17B10 | 142 |
MT-TI | 1672 |
TRNT1 | 7180 |
Complex I biogenesis
1 | |
---|---|
set | Complex I biogenesis |
setSize | 52 |
pANOVA | 7.46e-05 |
s.dist | -0.318 |
p.adjustANOVA | 9.32e-05 |
Top enriched genes
GeneID | Gene Rank |
---|---|
MT-ND2 | -8080 |
MT-ND1 | -7938 |
NDUFA8 | -7430 |
MT-ND5 | -7183 |
NDUFB4 | -6860 |
MT-ND3 | -6630 |
NDUFB10 | -6591 |
NDUFB11 | -6464 |
NDUFC2 | -6106 |
NDUFS3 | -5923 |
NDUFS8 | -5602 |
NDUFB2 | -5271 |
NDUFC1 | -5207 |
NDUFAB1 | -5189 |
NDUFAF6 | -5069 |
MT-ND4 | -4961 |
NDUFA11 | -4865 |
NDUFS7 | -4748 |
NUBPL | -4437 |
NDUFS1 | -4228 |
GeneID | Gene Rank |
---|---|
MT-ND2 | -8080 |
MT-ND1 | -7938 |
NDUFA8 | -7430 |
MT-ND5 | -7183 |
NDUFB4 | -6860 |
MT-ND3 | -6630 |
NDUFB10 | -6591 |
NDUFB11 | -6464 |
NDUFC2 | -6106 |
NDUFS3 | -5923 |
NDUFS8 | -5602 |
NDUFB2 | -5271 |
NDUFC1 | -5207 |
NDUFAB1 | -5189 |
NDUFAF6 | -5069 |
MT-ND4 | -4961 |
NDUFA11 | -4865 |
NDUFS7 | -4748 |
NUBPL | -4437 |
NDUFS1 | -4228 |
MT-ND6 | -4202 |
NDUFB5 | -3964 |
NDUFA1 | -3660 |
NDUFA13 | -3464 |
NDUFB9 | -3430 |
NDUFAF3 | -3381 |
NDUFA2 | -3043 |
NDUFAF1 | -2932 |
NDUFB8 | -2347 |
NDUFV3 | -1759 |
NDUFA10 | -1721 |
ACAD9 | -1698 |
NDUFA9 | -1513 |
NDUFA12 | -1478 |
NDUFS4 | -1134 |
NDUFB1 | -1011 |
NDUFV2 | -658 |
NDUFB3 | -508 |
NDUFA5 | -138 |
NDUFB7 | -137 |
NDUFS6 | -61 |
NDUFAF4 | -37 |
ECSIT | 356 |
TMEM126B | 739 |
NDUFB6 | 1090 |
NDUFS2 | 1246 |
NDUFS5 | 1410 |
NDUFAF5 | 1819 |
NDUFAF7 | 3012 |
NDUFAF2 | 3099 |
NDUFV1 | 3204 |
TIMMDC1 | 5450 |
The citric acid (TCA) cycle and respiratory electron transport
4 | |
---|---|
set | The citric acid (TCA) cycle and respiratory electron transport |
setSize | 147 |
pANOVA | 1.56e-08 |
s.dist | -0.27 |
p.adjustANOVA | 7.79e-08 |
Top enriched genes
GeneID | Gene Rank |
---|---|
MT-ND2 | -8080 |
MT-CO2 | -7984 |
OGDH | -7979 |
MT-ND1 | -7938 |
VDAC1 | -7931 |
PDHX | -7915 |
MT-CO1 | -7848 |
MT-ATP6 | -7777 |
MT-CO3 | -7751 |
SDHB | -7689 |
MT-CYB | -7639 |
FH | -7612 |
FAHD1 | -7584 |
ETFB | -7522 |
NDUFA8 | -7430 |
COX8A | -7282 |
MT-ND5 | -7183 |
MT-ATP8 | -7080 |
CS | -6993 |
NDUFB4 | -6860 |
GeneID | Gene Rank |
---|---|
MT-ND2 | -8080 |
MT-CO2 | -7984 |
OGDH | -7979 |
MT-ND1 | -7938 |
VDAC1 | -7931 |
PDHX | -7915 |
MT-CO1 | -7848 |
MT-ATP6 | -7777 |
MT-CO3 | -7751 |
SDHB | -7689 |
MT-CYB | -7639 |
FH | -7612 |
FAHD1 | -7584 |
ETFB | -7522 |
NDUFA8 | -7430 |
COX8A | -7282 |
MT-ND5 | -7183 |
MT-ATP8 | -7080 |
CS | -6993 |
NDUFB4 | -6860 |
MT-ND3 | -6630 |
NDUFB10 | -6591 |
SLC16A3 | -6551 |
DLST | -6517 |
NDUFB11 | -6464 |
MDH2 | -6461 |
ETFA | -6239 |
UQCRFS1 | -6210 |
NDUFC2 | -6106 |
GSTZ1 | -6058 |
PDHB | -5935 |
UQCRC1 | -5934 |
NDUFS3 | -5923 |
COX20 | -5920 |
NDUFS8 | -5602 |
SDHA | -5373 |
UCP2 | -5364 |
NDUFB2 | -5271 |
NDUFC1 | -5207 |
NDUFAB1 | -5189 |
COX6B1 | -5164 |
NDUFAF6 | -5069 |
PDK2 | -5044 |
MT-ND4 | -4961 |
COX5A | -4887 |
NDUFA11 | -4865 |
SUCLG1 | -4749 |
NDUFS7 | -4748 |
PDHA1 | -4645 |
PDPR | -4472 |
NUBPL | -4437 |
SCO2 | -4325 |
COX5B | -4316 |
NDUFS1 | -4228 |
MT-ND6 | -4202 |
SURF1 | -4188 |
NDUFB5 | -3964 |
RXRA | -3861 |
PDP2 | -3807 |
NDUFA1 | -3660 |
UQCR10 | -3653 |
COX6A1 | -3518 |
BSG | -3476 |
NDUFA13 | -3464 |
NDUFB9 | -3430 |
NDUFAF3 | -3381 |
MPC1 | -3309 |
IDH3A | -3100 |
SDHD | -3052 |
NDUFA2 | -3043 |
PDK3 | -2979 |
NDUFAF1 | -2932 |
LRPPRC | -2923 |
SUCLG2 | -2819 |
PPARD | -2757 |
COX11 | -2665 |
COX16 | -2500 |
COX7B | -2391 |
NDUFB8 | -2347 |
CYC1 | -2316 |
ACO2 | -1905 |
MPC2 | -1858 |
UQCRH | -1815 |
NDUFV3 | -1759 |
NDUFA10 | -1721 |
ACAD9 | -1698 |
DLAT | -1598 |
PDK1 | -1538 |
NDUFA4 | -1522 |
NDUFA9 | -1513 |
NDUFA12 | -1478 |
IDH3G | -1473 |
ME2 | -1412 |
L2HGDH | -1218 |
TACO1 | -1193 |
NDUFS4 | -1134 |
NDUFB1 | -1011 |
SLC16A1 | -885 |
NDUFV2 | -658 |
NDUFB3 | -508 |
HAGH | -308 |
NDUFA5 | -138 |
NDUFB7 | -137 |
NDUFS6 | -61 |
NDUFAF4 | -37 |
COX7C | -13 |
COX14 | 59 |
IDH3B | 71 |
PDK4 | 130 |
LDHB | 279 |
DLD | 354 |
ECSIT | 356 |
COX6C | 526 |
IDH2 | 672 |
TMEM126B | 739 |
UQCRC2 | 973 |
NDUFB6 | 1090 |
UQCRQ | 1230 |
NDUFS2 | 1246 |
NDUFS5 | 1410 |
UQCR11 | 1481 |
TRAP1 | 1519 |
SLC25A14 | 1543 |
NDUFAF5 | 1819 |
UQCRB | 2069 |
GLO1 | 2337 |
COX7A2L | 2355 |
D2HGDH | 2356 |
CYCS | 2582 |
LDHA | 2651 |
NNT | 2723 |
COQ10A | 2761 |
ME1 | 2791 |
NDUFAF7 | 3012 |
NDUFAF2 | 3099 |
NDUFV1 | 3204 |
COX4I1 | 3895 |
SDHC | 4485 |
SCO1 | 5234 |
TIMMDC1 | 5450 |
SLC25A27 | 5503 |
SUCLA2 | 5766 |
COX19 | 5879 |
COX18 | 6716 |
COQ10B | 7223 |
ETFDH | 7224 |
PDP1 | 7449 |
Respiratory electron transport, ATP synthesis by chemiosmotic coupling, and heat production by uncoupling proteins.
3 | |
---|---|
set | Respiratory electron transport, ATP synthesis by chemiosmotic coupling, and heat production by uncoupling proteins. |
setSize | 103 |
pANOVA | 4.32e-06 |
s.dist | -0.262 |
p.adjustANOVA | 1.08e-05 |
Top enriched genes
GeneID | Gene Rank |
---|---|
MT-ND2 | -8080 |
MT-CO2 | -7984 |
MT-ND1 | -7938 |
MT-CO1 | -7848 |
MT-ATP6 | -7777 |
MT-CO3 | -7751 |
SDHB | -7689 |
MT-CYB | -7639 |
ETFB | -7522 |
NDUFA8 | -7430 |
COX8A | -7282 |
MT-ND5 | -7183 |
MT-ATP8 | -7080 |
NDUFB4 | -6860 |
MT-ND3 | -6630 |
NDUFB10 | -6591 |
NDUFB11 | -6464 |
ETFA | -6239 |
UQCRFS1 | -6210 |
NDUFC2 | -6106 |
GeneID | Gene Rank |
---|---|
MT-ND2 | -8080 |
MT-CO2 | -7984 |
MT-ND1 | -7938 |
MT-CO1 | -7848 |
MT-ATP6 | -7777 |
MT-CO3 | -7751 |
SDHB | -7689 |
MT-CYB | -7639 |
ETFB | -7522 |
NDUFA8 | -7430 |
COX8A | -7282 |
MT-ND5 | -7183 |
MT-ATP8 | -7080 |
NDUFB4 | -6860 |
MT-ND3 | -6630 |
NDUFB10 | -6591 |
NDUFB11 | -6464 |
ETFA | -6239 |
UQCRFS1 | -6210 |
NDUFC2 | -6106 |
UQCRC1 | -5934 |
NDUFS3 | -5923 |
COX20 | -5920 |
NDUFS8 | -5602 |
SDHA | -5373 |
UCP2 | -5364 |
NDUFB2 | -5271 |
NDUFC1 | -5207 |
NDUFAB1 | -5189 |
COX6B1 | -5164 |
NDUFAF6 | -5069 |
MT-ND4 | -4961 |
COX5A | -4887 |
NDUFA11 | -4865 |
NDUFS7 | -4748 |
NUBPL | -4437 |
SCO2 | -4325 |
COX5B | -4316 |
NDUFS1 | -4228 |
MT-ND6 | -4202 |
SURF1 | -4188 |
NDUFB5 | -3964 |
NDUFA1 | -3660 |
UQCR10 | -3653 |
COX6A1 | -3518 |
NDUFA13 | -3464 |
NDUFB9 | -3430 |
NDUFAF3 | -3381 |
SDHD | -3052 |
NDUFA2 | -3043 |
NDUFAF1 | -2932 |
LRPPRC | -2923 |
COX11 | -2665 |
COX16 | -2500 |
COX7B | -2391 |
NDUFB8 | -2347 |
CYC1 | -2316 |
UQCRH | -1815 |
NDUFV3 | -1759 |
NDUFA10 | -1721 |
ACAD9 | -1698 |
NDUFA4 | -1522 |
NDUFA9 | -1513 |
NDUFA12 | -1478 |
TACO1 | -1193 |
NDUFS4 | -1134 |
NDUFB1 | -1011 |
NDUFV2 | -658 |
NDUFB3 | -508 |
NDUFA5 | -138 |
NDUFB7 | -137 |
NDUFS6 | -61 |
NDUFAF4 | -37 |
COX7C | -13 |
COX14 | 59 |
ECSIT | 356 |
COX6C | 526 |
TMEM126B | 739 |
UQCRC2 | 973 |
NDUFB6 | 1090 |
UQCRQ | 1230 |
NDUFS2 | 1246 |
NDUFS5 | 1410 |
UQCR11 | 1481 |
TRAP1 | 1519 |
SLC25A14 | 1543 |
NDUFAF5 | 1819 |
UQCRB | 2069 |
COX7A2L | 2355 |
CYCS | 2582 |
COQ10A | 2761 |
NDUFAF7 | 3012 |
NDUFAF2 | 3099 |
NDUFV1 | 3204 |
COX4I1 | 3895 |
SDHC | 4485 |
SCO1 | 5234 |
TIMMDC1 | 5450 |
SLC25A27 | 5503 |
COX19 | 5879 |
COX18 | 6716 |
COQ10B | 7223 |
ETFDH | 7224 |
Regulation of lipid metabolism by PPARalpha
2 | |
---|---|
set | Regulation of lipid metabolism by PPARalpha |
setSize | 106 |
pANOVA | 0.000537 |
s.dist | -0.195 |
p.adjustANOVA | 0.000537 |
Top enriched genes
GeneID | Gene Rank |
---|---|
CDK8 | -8142 |
MED13 | -7911 |
AHRR | -7895 |
SLC27A1 | -7885 |
G0S2 | -7853 |
PPARA | -7816 |
PPARG | -7740 |
ALAS1 | -7559 |
TNFRSF21 | -7540 |
NFYA | -7501 |
MED12 | -7448 |
MED20 | -7384 |
MED6 | -7297 |
PPARGC1A | -7167 |
PLIN2 | -7106 |
NR1H2 | -7089 |
MTF1 | -6750 |
CCNC | -6627 |
SP1 | -6498 |
SIN3A | -6401 |
GeneID | Gene Rank |
---|---|
CDK8 | -8142 |
MED13 | -7911 |
AHRR | -7895 |
SLC27A1 | -7885 |
G0S2 | -7853 |
PPARA | -7816 |
PPARG | -7740 |
ALAS1 | -7559 |
TNFRSF21 | -7540 |
NFYA | -7501 |
MED12 | -7448 |
MED20 | -7384 |
MED6 | -7297 |
PPARGC1A | -7167 |
PLIN2 | -7106 |
NR1H2 | -7089 |
MTF1 | -6750 |
CCNC | -6627 |
SP1 | -6498 |
SIN3A | -6401 |
MED29 | -6389 |
NCOA2 | -6386 |
MED14 | -6318 |
ACOX1 | -6107 |
NCOA1 | -6063 |
MED16 | -5807 |
NCOA6 | -5718 |
HDAC3 | -5428 |
NPAS2 | -5226 |
MED25 | -5176 |
MED8 | -5154 |
NCOA3 | -5126 |
MED22 | -5110 |
PPARGC1B | -5066 |
NCOR2 | -4774 |
CARM1 | -4620 |
TIAM2 | -4534 |
MED19 | -4496 |
SIN3B | -4389 |
CHD9 | -4312 |
EP300 | -4071 |
MED15 | -3901 |
RXRA | -3861 |
ARNTL | -3694 |
CDK19 | -3620 |
CPT1A | -3477 |
MED17 | -3469 |
ARNT | -3459 |
NR1H3 | -3270 |
CYP1A1 | -3001 |
RORA | -2829 |
MED24 | -2748 |
SMARCD3 | -2703 |
CPT2 | -2616 |
TRIB3 | -2512 |
NCOR1 | -2380 |
MED23 | -2237 |
MED13L | -2076 |
ACSL1 | -1850 |
CREBBP | -1636 |
ABCB4 | -1490 |
MED26 | -1239 |
MED27 | -970 |
SREBF2 | -606 |
MED1 | -401 |
SREBF1 | -118 |
MED11 | 213 |
ESRRA | 313 |
GRHL1 | 364 |
ANKRD1 | 370 |
THRAP3 | 382 |
MED9 | 769 |
TGS1 | 1039 |
NFYC | 1211 |
ACADM | 1344 |
TXNRD1 | 1443 |
NRF1 | 1798 |
PEX11A | 2077 |
GLIPR1 | 2234 |
ARNT2 | 2432 |
MED31 | 2646 |
ME1 | 2791 |
FHL2 | 2943 |
MED28 | 3112 |
TBL1X | 3314 |
MED10 | 3402 |
FADS1 | 3435 |
MED21 | 3591 |
FDFT1 | 3706 |
NR1D1 | 3739 |
MED4 | 3810 |
HELZ2 | 4209 |
GPS2 | 4580 |
TBL1XR1 | 4631 |
MED18 | 4649 |
MED7 | 4793 |
HMGCR | 4931 |
NFYB | 5119 |
MED30 | 5562 |
RGL1 | 5713 |
AHR | 6261 |
ABCA1 | 6440 |
HMGCS1 | 6470 |
ANGPTL4 | 6489 |
CLOCK | 7650 |
NR1H4 | 7719 |
Here is the session info with all the versions of packages used.
sessionInfo()
## R version 4.0.3 (2020-10-10)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 20.04.2 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_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
## [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
##
## attached base packages:
## [1] parallel stats4 stats graphics grDevices utils datasets
## [8] methods base
##
## other attached packages:
## [1] pkgload_1.1.0 GGally_2.0.0
## [3] reshape2_1.4.4 beeswarm_0.2.3
## [5] gtools_3.8.2 echarts4r_0.3.3
## [7] vioplot_0.3.5 zoo_1.8-8
## [9] sm_2.2-5.6 mitch_1.2.2
## [11] gplots_3.1.0 fgsea_1.16.0
## [13] DESeq2_1.30.0 SummarizedExperiment_1.20.0
## [15] Biobase_2.50.0 MatrixGenerics_1.2.0
## [17] matrixStats_0.57.0 GenomicRanges_1.42.0
## [19] GenomeInfoDb_1.26.0 IRanges_2.24.0
## [21] S4Vectors_0.28.0 BiocGenerics_0.36.0
## [23] forcats_0.5.0 stringr_1.4.0
## [25] dplyr_1.0.2 purrr_0.3.4
## [27] readr_1.4.0 tidyr_1.1.2
## [29] tibble_3.0.4 ggplot2_3.3.2
## [31] tidyverse_1.3.0
##
## loaded via a namespace (and not attached):
## [1] colorspace_2.0-0 ellipsis_0.3.1 rprojroot_1.3-2
## [4] XVector_0.30.0 fs_1.5.0 rstudioapi_0.12
## [7] bit64_4.0.5 AnnotationDbi_1.52.0 fansi_0.4.1
## [10] lubridate_1.7.9 xml2_1.3.2 splines_4.0.3
## [13] geneplotter_1.68.0 knitr_1.30 jsonlite_1.7.1
## [16] broom_0.7.2 annotate_1.68.0 dbplyr_2.0.0
## [19] shiny_1.5.0 compiler_4.0.3 httr_1.4.2
## [22] backports_1.2.0 assertthat_0.2.1 Matrix_1.2-18
## [25] fastmap_1.0.1 cli_2.1.0 later_1.1.0.1
## [28] htmltools_0.5.0 tools_4.0.3 gtable_0.3.0
## [31] glue_1.4.2 GenomeInfoDbData_1.2.4 fastmatch_1.1-0
## [34] Rcpp_1.0.5 cellranger_1.1.0 vctrs_0.3.4
## [37] xfun_0.19 ps_1.4.0 testthat_3.0.0
## [40] rvest_0.3.6 mime_0.9 lifecycle_0.2.0
## [43] XML_3.99-0.5 zlibbioc_1.36.0 MASS_7.3-53
## [46] scales_1.1.1 hms_0.5.3 promises_1.1.1
## [49] RColorBrewer_1.1-2 yaml_2.2.1 memoise_1.1.0
## [52] gridExtra_2.3 reshape_0.8.8 stringi_1.5.3
## [55] RSQLite_2.2.1 highr_0.8 genefilter_1.72.0
## [58] desc_1.2.0 caTools_1.18.0 BiocParallel_1.24.1
## [61] rlang_0.4.8 pkgconfig_2.0.3 bitops_1.0-6
## [64] evaluate_0.14 lattice_0.20-41 htmlwidgets_1.5.2
## [67] bit_4.0.4 tidyselect_1.1.0 plyr_1.8.6
## [70] magrittr_1.5 R6_2.5.0 generics_0.1.0
## [73] DelayedArray_0.16.0 DBI_1.1.0 pillar_1.4.6
## [76] haven_2.3.1 withr_2.3.0 survival_3.2-7
## [79] RCurl_1.98-1.2 modelr_0.1.8 crayon_1.3.4
## [82] KernSmooth_2.23-18 rmarkdown_2.5 locfit_1.5-9.4
## [85] grid_4.0.3 readxl_1.3.1 data.table_1.13.2
## [88] blob_1.2.1 reprex_0.3.0 digest_0.6.27
## [91] xtable_1.8-4 httpuv_1.5.4 munsell_0.5.0
## [94] tcltk_4.0.3
END of report