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Fundamentals of experimental design for cDNA microarrays
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Citations
Cites
Variation in gene expression within and among natural populations
Oleksiak, M. F., Churchill, G. A., & Crawford, D. L. (2002) · Nature Genetics · doi:10.1038/ng983 · Cited by 736
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Microarray data normalization and transformation
Quackenbush, J. (2002) · Nature Genetics · doi:10.1038/ng1032 · Cited by 1,975
Microarray data analysis: from disarray to consolidation and consensus
Allison, D. B., Cui, X., Page, G. P., & Sabripour, M. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1749 · Cited by 1,339
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Gateways to the FANTOM5 promoter level mammalian expression atlas
Lizio, M., Harshbarger, J., Shimoji, H., Severin, J., Kasukawa, T., Sahin, S., Abugessaisa, I., Fukuda, S., Hori, F., Ishikawa-Kato, S., et al. (2015) · Genome Biology · doi:10.1186/s13059-014-0560-6 · Cited by 871
Reliability and reproducibility issues in DNA microarray measurements
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Gene Expression Profiles in the Brain Predict Behavior in Individual Honey Bees
Whitfield, C. W., Cziko, A.-M., & Robinson, G. E. (2003) · Science · doi:10.1126/science.1086807 · Cited by 527
Statistical Design and Analysis of RNA Sequencing Data
Auer, P. L., & Doerge, R. W. (2010) · Genetics · doi:10.1534/genetics.110.114983 · Cited by 393
MicroRNA-regulated pathways associated with endometriosis
Ohlsson Teague, E. M. C., Van der Hoek, K. H., Van der Hoek, M. B., Perry, N., Wagaarachchi, P., Robertson, S. A., Print, C. G., & Hull, L. M. (2009) · Molecular Endocrinology · doi:10.1210/me.2008-0387 · Cited by 357
Systems biology: experimental design
Kreutz, C., & Timmer, J. (2009) · The FEBS Journal · doi:10.1111/j.1742-4658.2008.06843.x · Cited by 257
Naujoks, J., Tabeling, C., Dill, B. D., Hoffmann, C., Brown, A. S., Kunze, M., Kempa, S., Peter, A., Mollenkopf, H.-J., Dorhoi, A., et al. (2016) · PLOS Pathogens · doi:10.1371/journal.ppat.1005408 · Cited by 261
Sequencing technology does not eliminate biological variability
Hansen, K. D., Wu, Z., Irizarry, R. A., & Leek, J. T. (2011) · Nature Biotechnology · doi:10.1038/nbt.1910 · Cited by 226
Transcriptional characterizations of differences between eutopic and ectopic endometrium
Wu, Y., Kajdacsy-Balla, A., Strawn, E., Basir, Z., Halverson, G., Jailwala, P., Wang, Y., Wang, X., Ghosh, S., & Guo, S.-W. (2006) · Endocrinology · doi:10.1210/en.2005-0426 · Cited by 208
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Circadian Clocks Are Resounding in Peripheral Tissues
Ptitsyn, A. A., Zvonic, S., Conrad, S. A., Scott, L. K., Mynatt, R. L., & Gimble, J. M. (2006) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0020016 · Cited by 145
Dictyostelium transcriptional host cell response upon infection with Legionella
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Comprehensive comparison of large-scale tissue expression datasets
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Gene-expression signatures of Atlantic salmon’s plastic life cycle
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Genomic and Proteomic Analysis of Myocarditis and Dilated Cardiomyopathy
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Metadata
- Authors
- Churchill, G. A.
- Venue
- Nature Genetics
- Published
- 2002-12
- Volume
- 32
- Issue
- S4
- Pages
- 490-495
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2053818267
- Cited by
- 1,050
- References
- 1
- FWCI
- 29.16
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.