The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
From ‘differential expression’ to ‘differential networking’ – identification of dysfunctional regulatory networks in diseases
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Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
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Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Network biology: understanding the cell's functional organization
Barabási, A.-L., & Oltvai, Z. N. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1272 · Cited by 7,903
A General Framework for Weighted Gene Co-Expression Network Analysis
Zhang, B., & Horvath, S. (2005) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1128 · Cited by 5,684
Causation, Prediction, and Search
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A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules
Stuart, J. M., Segal, E., Koller, D., & Kim, S. K. (2003) · Science · doi:10.1126/science.1087447 · Cited by 2,256
Cited by
When is hub gene selection better than standard meta-analysis?
Langfelder, P., Mischel, P. S., & Horvath, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061505 · Cited by 313
Gaiteri, C., Ding, Y., French, B., Tseng, G. C., & Sibille, E. (2014) · Genes, Brain and Behavior · doi:10.1111/gbb.12106 · Cited by 289
DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules
Tesson, B. M., Breitling, R., & Jansen, R. C. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-497 · Cited by 244
Common dysregulation network in the human prefrontal cortex underlies two neurodegenerative diseases
Narayanan, M., Huynh, J. L., Wang, K., Yang, X., Yoo, S., McElwee, J., Zhang, B., Zhang, C., Lamb, J. R., Xie, T., et al. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145304 · Cited by 208
Dissection of Regulatory Networks that Are Altered in Disease via Differential Co-expression
Amar, D., Safer, H., & Shamir, R. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002955 · Cited by 169
Metadata
- Authors
- de la Fuente, A.
- Venue
- Trends in Genetics
- Publisher
- Elsevier BV
- Published
- 2010-07
- Volume
- 26
- Issue
- 7
- Pages
- 326-333
- ISSN
- 0168-9525 (ISSN-L)
- OpenAlex
- W1965055200
- Cited by
- 427
- References
- 81
- FWCI
- 1.40
- 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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- CoChat. (2026). Citation check: From ‘differential expression’ to ‘differential networking’ – identification of dysfunctional regulatory networks in diseases. https://app.cochat.ai/papers/10.1016/j.tig.2010.05.001
- The paper
- de la Fuente, A. (2010). From ‘differential expression’ to ‘differential networking’ – identification of dysfunctional regulatory networks in diseases. Trends in Genetics. https://doi.org/10.1016/j.tig.2010.05.001
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.
