The DOI matches its Crossref record.
LINEAR MODELING OF mRNA EXPRESSION LEVELS DURING CNS DEVELOPMENT AND INJURY
Abstract
Large-scale gene expression data sets are revolutionizing the field of functional genomics. However, few data analysis techniques fully exploit this entirely new class of data. We present a linear modeling approach that allows one to infer interactions between all the genes included in the data set. The resulting model can be used to generate interesting hypotheses to direct further experiments.
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
Gene regulatory network inference: Data integration in dynamic models—A review
Hecker, M., Lambeck, S., Toepfer, S., van Someren, E., & Guthke, R. (2009) · Biosystems · doi:10.1016/j.biosystems.2008.12.004 · Cited by 755
Yu, J., Smith, V. A., Wang, P. P., Hartemink, A. J., & Jarvis, E. D. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth448 · Cited by 675
Reverse engineering gene networks using singular value decomposition and robust regression
Yeung, M. K. S., Tegnér, J., & Collins, J. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.092576199 · Cited by 667
Bonneau, R., Reiss, D. J., Shannon, P., Facciotti, M., Hood, L., Baliga, N. S., & Thorsson, V. (2006) · Genome Biology · doi:10.1186/gb-2006-7-5-r36 · Cited by 510
Analyzing time series gene expression data
Bar-Joseph, Z. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth283 · Cited by 444
Metadata
- Authors
- D'HAESELEER, P., WEN, X., FUHRMAN, S., & SOMOGYI, R.
- Venue
- Biocomputing '99
- Publisher
- WORLD SCIENTIFIC
- Published
- 1998-12
- Pages
- 41-52
- OpenAlex
- W2008107402
- Cited by
- 498
- References
- 0
- FWCI
- 43.16
- Type
- conference paper
- 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: LINEAR MODELING OF mRNA EXPRESSION LEVELS DURING CNS DEVELOPMENT AND INJURY. https://app.cochat.ai/papers/10.1142/9789814447300_0005
- The paper
- D'HAESELEER, P., WEN, X., FUHRMAN, S., & SOMOGYI, R. (1998). LINEAR MODELING OF mRNA EXPRESSION LEVELS DURING CNS DEVELOPMENT AND INJURY. Biocomputing '99. https://doi.org/10.1142/9789814447300_0005
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.