10.2217/14622416.7.7.1025
10.2217/14622416.7.7.1025 · doi-reference
Open tg-gates: a large-scale toxicogenomics database
10.1093/nar/gku955 · doi-reference
10.1021/nn305567s
10.1021/nn305567s · doi-reference
10.1016/j.nano.2011.11.004
10.1016/j.nano.2011.11.004 · doi-reference
10.1021/nn200595c
10.1021/nn200595c · doi-reference
10.1021/nn2033055
10.1021/nn2033055 · doi-reference
10.1021/la400561t
10.1021/la400561t · doi-reference
Basic biology and role of interleukin-17 in immunity and inflammation
10.1111/prd.12083 · doi-reference
Multiwalled carbon nanotubes induce a fibrogenic response by stimulating reactive oxygen species production, activating nf-kb signaling, and promoting fibroblast-to-myofibroblast transformation
10.1021/tx200351d · doi-reference
Network analysis reveals similar transcriptomic responses to intrinsic properties of carbon nanomaterials in vitro and in vivo
10.1021/acsnano.6b08650 · doi-reference
10.1007/978-1-0716-1839-4_11
10.1007/978-1-0716-1839-4_11 · doi-reference
A method to integrate benchmark dose estimates with genomic data to assess the functional effects of chemical exposure
10.1093/toxsci/kfm092 · doi-reference
Reply to: Prospects and challenges for FAIR toxicogenomics data
10.1038/s41565-021-01050-8 · doi-reference
Prospects and challenges for FAIR toxicogenomics data
10.1038/s41565-021-01049-1 · doi-reference
Towards FAIR nanosafety data
10.1038/s41565-021-00911-6 · doi-reference
10.1609/icwsm.v3i1.13937
10.1609/icwsm.v3i1.13937 · doi-reference
10.1101/gr.1239303
10.1101/gr.1239303 · doi-reference
The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets
10.1093/nar/gkaa1074 · doi-reference
PathwAX: a web server for network crosstalk based pathway annotation
10.1093/nar/gkw356 · doi-reference
10.1093/nar/gkz401
10.1093/nar/gkz401 · doi-reference
10.32614/cran.package.uwot
10.32614/cran.package.uwot · doi-reference
10.1038/ng1201-365
10.1038/ng1201-365 · doi-reference
Grouping of nanomaterials to read-across hazard endpoints: a review
10.1080/17435390.2018.1506060 · doi-reference
10.1371/journal.pcbi.1007677
10.1371/journal.pcbi.1007677 · doi-reference
Data integration in genomics and systems biology
10.1109/cec.2016.7743934 · doi-reference
Fastbmd: an online tool for rapid benchmark dose–response analysis of transcriptomics data
10.1093/bioinformatics/btaa700 · doi-reference
Multi-omics analysis of ten carbon nanomaterials effects highlights cell type specific patterns of molecular regulation and adaptation
10.1016/j.impact.2018.05.003 · doi-reference
10.1023/a:1010933404324
10.1023/a:1010933404324 · doi-reference
Map and model–moving from observation to prediction in toxicogenomics
10.1093/gigascience/giz057 · doi-reference
Wisdom of crowds for robust gene network inference
10.1038/nmeth.2016 · doi-reference
Topklists: a comprehensive r package for statistical inference, stochastic aggregation, and visualization of multiple omics ranked lists
10.1515/sagmb-2014-0093 · doi-reference
10.1038/75556
10.1038/75556 · doi-reference
KEGG as a reference resource for gene and protein annotation
10.1093/nar/gkv1070 · doi-reference
The reactome pathway knowledgebase
10.1093/nar/gkv1351 · doi-reference
10.1093/nar/gkm226
10.1093/nar/gkm226 · doi-reference
10.1080/17460441.2021.1867095
10.1080/17460441.2021.1867095 · doi-reference
Cobalt nanoparticles trigger ferroptosis-like cell death (oxytosis) in neuronal cells: Potential implications for neurodegenerative disease
10.1096/fj.201902191rr · doi-reference
10.1073/pnas.2009192117
10.1073/pnas.2009192117 · doi-reference
Knowledge generation with rule induction in cancer omics
10.3390/ijms21010018 · doi-reference
10.3390/genes10020087
10.3390/genes10020087 · doi-reference
