The DOI matches its Crossref record.
Genome analysis with gene expression microarrays
Abstract
Advances in biochemistry, chemistry and engineering have enabled the development of a new gene expression assay. This ‘chip‐based’ approach utilizes microscopic arrays of cDNAs printed on glass as high‐density hybridization targets. Fluorescent probe mixtures derived from total cellular messenger RNA (mRNA) hybridize to cognate elements on the array, allowing accurate measurement of the expression of the corresponding genes. Array densities of >1,000 cDNAs per cm 2 enable quantitative expression monitoring of a large number of genes in a single hybridization. A two‐color fluorescence detection scheme allows rapid and simultaneous differential expression analysis of independent biological samples. Mass‐produced microarrays provide a new tool for genome expression analysis that may revolutionize genetic dissection, drug discovery and human disease diagnostics.
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
Cited by
Stears, R. L., Martinsky, T., & Schena, M. (2003) · Nature Medicine · doi:10.1038/nm0103-140 · Cited by 279
Self-citationXia, X. (2012) · Scientifica · doi:10.6064/2012/917540 · Cited by 73
Metadata
- Authors
- Schena, M.
- Venue
- BioEssays
- Publisher
- Wiley
- Published
- 1996-05
- Volume
- 18
- Issue
- 5
- Pages
- 427-431
- ISSN
- 0265-9247 (ISSN-L)
- 1521-1878
- OpenAlex
- W1981788436
- Cited by
- 254
- References
- 0
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- closed
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: Genome analysis with gene expression microarrays. https://app.cochat.ai/papers/10.1002/bies.950180513
- The paper
- Schena, M. (1996). Genome analysis with gene expression microarrays. BioEssays. https://doi.org/10.1002/bies.950180513
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.
