The DOI matches its Crossref record; 7 of the 8 references it cites were found in a registry or an index.
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Open accessAbstract
The Gene Expression Omnibus (GEO) project was initiated in response to the growing demand for a public repository for high-throughput gene expression data. GEO provides a flexible and open design that facilitates submission, storage and retrieval of heterogeneous data sets from high-throughput gene expression and genomic hybridization experiments. GEO is not intended to replace in house gene expression databases that benefit from coherent data sets, and which are constructed to facilitate a particular analytic method, but rather complement these by acting as a tertiary, central data distribution hub. The three central data entities of GEO are platforms, samples and series, and were designed with gene expression and genomic hybridization experiments in mind. A platform is, essentially, a list of probes that define what set of molecules may be detected. A sample describes the set of molecules that are being probed and references a single platform used to generate its molecular abundance data. A series organizes samples into the meaningful data sets which make up an experiment. The GEO repository is publicly accessible through the World Wide Web at http://www.ncbi.nlm.nih.gov/geo.
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“The microarray data have been deposited in MIAME compliant format in the NCBI’s Gene Expression Omnibus public repository ([38]; GEO accession no. GSE168390).”
From Effect of Ecdysterone on the Hepatic Transcriptome and Lipid Metabolism in Lean and Obese Zucker Rats (2021) · cites this paper as [38]
Citations
Cites
Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray
Schena, M., Shalon, D., Davis, R. W., & Brown, P. O. (1995) · Science · doi:10.1126/science.270.5235.467 · Cited by 9,609
Serial Analysis of Gene Expression
Velculescu, V. E., Zhang, L., Vogelstein, B., & Kinzler, K. W. (1995) · Science · doi:10.1126/science.270.5235.484 · Cited by 3,713
Gene expression informatics —it's all in your mine
Bassett, D. E., Eisen, M. B., & Boguski, M. S. (1999) · Nature Genetics · doi:10.1038/4478 · Cited by 400
Using oligonucleotide probe arrays to access genetic diversity
Lipshutz, R. J., Morris, D., Chee, M. S., Hubbell, E. A., Kozal, M. J., Shah, N. M., Shen, N., Yang, R., & Fodor, S. P. A. (1999) · Birkhäuser Basel eBooks · doi:10.1007/978-3-0348-8817-2_9 · Cited by 339
One-stop shop for microarray data
Brāzma, A., Robinson, A. J., Cameron, G. N., & Ashburner, M. (2000) · Nature · doi:10.1038/35001676 · Cited by 157
Kellam, P. (2001) · Genome biology · doi:10.1186/gb-2001-2-5-reports4011 · Cited by 20
Unlimited Access—Limitless SuccessPreprint
Goodman, L. (2001) · Genome Research · doi:10.1101/gr.11.5.637 · Cited by 7
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1 of the 8 references couldn’t be matched to a known paper.
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Inferring tumour purity and stromal and immune cell admixture from expression data
Yoshihara, K., Shahmoradgoli, M., Martínez, E., Vegesna, R., Kim, H., Torres-Garcia, W., Treviño, V., Shen, H., Laird, P. W., Levine, D. A., et al. (2013) · Nature Communications · doi:10.1038/ncomms3612 · Cited by 9,778
Database resources of the National Center for Biotechnology Information: update
Wheeler, D. L. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh073 · Cited by 10,695
NCBI GEO: archive for functional genomics data sets—update
Barrett, T., Wilhite, S. E., Ledoux, P., Evangelista, C., Kim, I. F., Tomashevsky, M., Marshall, K. A., Phillippy, K. H., Sherman, P. M., Holko, M., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1193 · Cited by 10,418
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520
Gene set knowledge discovery with enrichr
Xie, Z., Bailey, A., Kuleshov, M. V., Clarke, D. J. B., Evangelista, J. E., Jenkins, S. L., Lachmann, A., Wojciechowicz, M. L., Kropiwnicki, E., Jagodnik, K. M., et al. (2021) · Current Protocols · doi:10.1002/cpz1.90 · Cited by 3,451
Metadata
- Authors
- Edgar, R.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Edgar, R.
- ORCID
- Edgar, R.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-01-01
- Volume
- 30
- Issue
- 1
- Pages
- 207-210
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC99122
- OpenAlex
- W2020541351
- Cited by
- 13,288
- References
- 8
- Citations by year
- 2026: 616 · 2025: 746 · 2024: 960 · 2023: 1010 · 2022: 991 · 2021: 1102 · 2020: 991 · 2019: 820 · 2018: 689 · 2017: 668 · 2016: 658 · 2015: 649 · 2014: 638 · 2013: 570 · 2012: 510
- FWCI
- 27.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nucleic Acids Research (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- Gene Expression Omnibus, gene expression data, genomic hybridization, microarray data, public data repositories, data submission, data storage and retrieval, biological specimen
- MeSH terms
- Animals, Communication, Database Management Systems, Forecasting, Humans, National Library of Medicine (U.S.), United States, Information Storage and Retrieval, Genome, Internet, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, Databases, Genetic
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