The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Advantages and limitations of current network inference methods
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Citations
Cites
From molecular to modular cell biology.
Hartwell, L. H., Hopfield, J. J., Leibler, S., & Murray, A. W. (1999) · Nature · doi:10.1038/35011540 · Cited by 3,632
Network motifs: theory and experimental approaches
Alon, U. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2102 · Cited by 3,279
Modelling and analysis of gene regulatory networks
Karlebach, G., & Shamir, R. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2503 · Cited by 1,296
Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling
Gardner, T. S., di Bernardo, D., Lorenz, D., & Collins, J. J. (2003) · Science · doi:10.1126/science.1081900 · Cited by 1,117
Mapping complex disease traits with global gene expression
Cookson, W., Liang, L., Abecasis, G., Moffatt, M., & Lathrop, M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2537 · Cited by 849
Genetics of global gene expression
Rockman, M. V., & Kruglyak, L. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1964 · Cited by 666
The landscape of genetic complexity across 5,700 gene expression traits in yeast
Brem, R. B., & Kruglyak, L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0408709102 · Cited by 603
Adaptive prediction of environmental changes by microorganisms
Mitchell, A., Romano, G. H., Groisman, B., Yona, A., Dekel, E., Kupiec, M., Dahan, O., & Pilpel, Y. (2009) · Nature · doi:10.1038/nature08112 · Cited by 581
Predictive Behavior Within Microbial Genetic Networks
Tagkopoulos, I., Liu, Y.-C., & Tavazoie, S. (2008) · Science · doi:10.1126/science.1154456 · Cited by 519
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
Cited by
Wisdom of crowds for robust gene network inference
The DREAM5 Consortium, Marbach, D., Costello, J. C., Küffner, R., Vega, N. M., Prill, R. J., Camacho, D. M., Allison, K. R., Kellis, M., Collins, J. J., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2016 · Cited by 1,667
A scalable SCENIC workflow for single-cell gene regulatory network analysis
Van de Sande, B., Flerin, C., Davie, K., De Waegeneer, M., Hulselmans, G., Aibar, S., Seurinck, R., Saelens, W., Cannoodt, R., Rouchon, Q., et al. (2020) · Nature Protocols · doi:10.1038/s41596-020-0336-2 · Cited by 1,494
Gene co-expression analysis for functional classification and gene–disease predictions
van Dam, S., Võsa, U., van der Graaf, A., Franke, L., & de Magalhães, J. P. (2017) · Briefings in Bioinformatics · doi:10.1093/bib/bbw139 · Cited by 995
Gene Regulatory Network Inference from Single-Cell Data Using Multivariate Information Measures
Chan, T. E., Stumpf, M. P. H., & Babtie, A. C. (2017) · Cell Systems · doi:10.1016/j.cels.2017.08.014 · Cited by 578
Comparison of co-expression measures: mutual information, correlation, and model based indices
Song, L., Langfelder, P., & Horvath, S. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-328 · Cited by 460
Metadata
- Authors
- De Smet, R., & Marchal, K.
- Venue
- Nature Reviews Microbiology
- Published
- 2010-08-31
- Volume
- 8
- Issue
- 10
- Pages
- 717-729
- ISSN
- 1740-1526 (ISSN-L)
- 1740-1534
- OpenAlex
- W2105129830
- Cited by
- 515
- References
- 14
- FWCI
- 1.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Advantages and limitations of current network inference methods. https://app.cochat.ai/papers/10.1038/nrmicro2419
- The paper
- De Smet, R., & Marchal, K. (2010). Advantages and limitations of current network inference methods. Nature Reviews Microbiology. https://doi.org/10.1038/nrmicro2419
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.
