The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Normalization strategies for cDNA microarrays
Open accessAbstract
Multiple Arabidopsis thaliana clones from an experimental series of cDNA microarrays are evaluated in order to identify essential sources of noise in the spotting and hybridization process. Theoretical and experimental strategies for an improved quantitative evaluation of cDNA microarrays are proposed and tested on a series of differently diluted control clones. Several sources of noise are identified from the data. Systematic and stochastic fluctuations in the spotting process are reduced by control spots and statistical techniques. The reliability of slide to slide comparison is critically assessed within the statistical framework of pattern matching and classification.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(1973) · CERN Document Server (European Organization for Nuclear Research) · Cited by 12,895
Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale
DeRisi, J. L., Iyer, V. R., & Brown, P. O. (1997) · Science · doi:10.1126/science.278.5338.680 · Cited by 4,456
Expression monitoring by hybridization to high-density oligonucleotide arrays
Lockhart, D. J., Dong, H., Byrne, M. C., Follettie, M. T., Gallo, M. V., Chee, M. S., Mittmann, M., Wang, C., Kobayashi, M., Norton, H., et al. (1996) · Nature Biotechnology · doi:10.1038/nbt1296-1675 · Cited by 2,840
The Significance of Digital Gene Expression Profiles
Audic, S., & Claverie, J.-M. (1997) · Genome Research · doi:10.1101/gr.7.10.986 · Cited by 2,786
Expression profiling using cDNA microarrays
Duggan, D. J., Bittner, M., Chen, Y., Meltzer, P., & Trent, J. M. (1999) · Nature Genetics · doi:10.1038/4434 · Cited by 1,657
Large-scale temporal gene expression mapping of central nervous system development
Wen, X., Fuhrman, S., Michaels, G. S., Carr, D. B., Smith, S., Barker, J. L., & Somogyi, R. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.1.334 · Cited by 648
Genome-wide expression profiling in Escherichia coli K-12
Richmond, C. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.19.3821 · Cited by 579
Zhu, H., Cong, J.-P., Mamtora, G., Gingeras, T., & Shenk, T. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.24.14470 · Cited by 444
Predicting Gene Regulatory Elements in Silico on a Genomic Scale
Brāzma, A., Jonassen, I., Vilo, J., & Ukkonen, E. (1998) · Genome Research · doi:10.1101/gr.8.11.1202 · Cited by 334
Computational methods for theidentification of differential and coordinated gene expression
Claverie, J.-M. (1999) · Human Molecular Genetics · doi:10.1093/hmg/8.10.1821 · Cited by 287
Cited by
Pfaffl, M. W., Tichopad, A., Prgomet, C., & Neuvians, T. P. (2004) · Biotechnology Letters · doi:10.1023/b:bile.0000019559.84305.47 · Cited by 5,065
arrayQualityMetrics—a bioconductor package for quality assessment of microarray data
Kauffmann, A., Gentleman, R., & Huber, W. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btn647 · Cited by 946
“Summary: The assessment of data quality is a major concern in microarray analysis. arrayQualityMetrics is a Bioconductor package that provides a report with diagnostic plots for one or two colour microarray data.”
Empirical array quality weights in the analysis of microarray data
Ritchie, M. E., Diyagama, D., Neilson, J., van Laar, R., Dobrovic, A., Holloway, A., & Smyth, G. K. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-261 · Cited by 312
Statistical issues with microarrays: processing and analysis
Nadon, R., & Shoemaker, J. (2002) · Trends in Genetics · doi:10.1016/s0168-9525(02)02665-3 · Cited by 296
Metadata
- Authors
- Schuchhardt, J.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-05-15
- Volume
- 28
- Issue
- 10
- Pages
- 47e-47
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2158188865
- Cited by
- 331
- References
- 13
- FWCI
- 16.22
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Normalization strategies for cDNA microarrays. https://app.cochat.ai/papers/10.1093/nar/28.10.e47
- The paper
- Schuchhardt, J. (2000). Normalization strategies for cDNA microarrays. Nucleic Acids Research. https://doi.org/10.1093/nar/28.10.e47
Data sources
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.
