The DOI matches its Crossref record.
Information-Theoretic Inference of Large Transcriptional Regulatory Networks
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Additionally, methods based on mutual information cannot take advantage of intrinsically asymmetric relationships, which are common for example in gene regulatory networks (Meyer et al., 2007).”
From A Theory of Usable Information Under Computational Constraints (2020) · cites this paper as Meyer et al., 2007
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
No references could be resolved yet.
Research works printed but not linked: 19
- 10.1517/14622416.3.4.507 · DOI
- 10.1016/j.plrev.2005.01.001 · DOI
- 10.1109/TIT.1968.1054142 · DOI · Paper page
- 2000, Pacific Symposium on Biocomputing, 418
- 10.1186/1471-2105-7-S1-S7 · DOI · Paper page
- 10.1371/journal.pbio.0050008 · DOI · Paper page
- 1988, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible
- 10.1016/S0004-3702(02)00191-1 · DOI
- 10.1103/PhysRevLett.91.238701 · DOI
- 10.1118/1.1418724 · DOI
- 10.1142/S0219720005001004 · DOI
- 10.1073/pnas.220392197 · DOI
- 1990, Elements of Information Theory
- 10.1023/A:1017912624016 · DOI
- 10.1093/bioinformatics/bti487 · DOI
- 10.1186/1471-2105-7-43 · DOI
- 10.1162/089976603321780272 · DOI · Paper page
- 1997, Journal of Statistics, 6, 17
- 10.1162/089976698300017197 · DOI · Paper page
Cited by
Sorted by citations
Inferring Regulatory Networks from Expression Data Using Tree-Based Methods
Huynh-Thu, V. A., Irrthum, A., Wehenkel, L., & Geurts, P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012776 · Cited by 2,131
“Finally, MRNET [14] uses an iterative feature selection method based on a maximum relevance/ minimum redundancy criterion.”
MethodGene 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
Wan, Y.-W., Al-Ouran, R., Mangleburg, C. G., Perumal, T. M., Lee, T. V., Allison, K., Swarup, V., Funk, C. C., Gaiteri, C., Allen, M., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107908 · Cited by 295
“, 2009), mrnet (Meyer et al., 2007), c3net (Altay and Emmert-Streib, 2010) and WGCNA (Langfelder and Horvath, 2008) and rank the edge lists from each method based on the method specific edge weights, identify a mean rank for each edge across methods, then identify the total number of edges supported by the data with B…”
MethodZoppoli, P., Morganella, S., & Ceccarelli, M. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-154 · Cited by 248
Reverse engineering and identification in systems biology: strategies, perspectives and challenges
Villaverde, A. F., & Banga, J. R. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.0505 · Cited by 229
A Theory of Usable Information Under Computational Constraints
Xu, Y., Zhao, S., Song, J., Stewart, R., & Ermon, S. (2020) · arXiv · doi:10.48550/arxiv.2002.10689 · Cited by 142
Rahmatallah, Y., Emmert-Streib, F., & Glazko, G. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt687 · Cited by 110
Fortino, V., Wisgrill, L., Werner, P., Suomela, S., Linder, N., Jalonen, E., Suomalainen, A., Marwah, V., Kero, M., Pesonen, M., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2009192117 · Cited by 99
Wang, H., Li, Y., Ryder, J. W., Hole, J. T., Ebert, P. J., Airey, D. C., Qian, H.-R., Logsdon, B., Fisher, A., Ahmed, Z., et al. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0296-y · Cited by 83
Ren, F., Wei, J., Chen, Q., Hu, M., Yu, L., Mi, J., Zhou, X., Qin, D., Wu, J., & Wu, A. (2025) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2025.07.030 · Cited by 97
Wexler, E. M., Rosen, E., Lu, D., Osborn, G. E., Martin, E., Raybould, H., & Geschwind, D. H. (2011) · Science Signaling · doi:10.1126/scisignal.2002282 · Cited by 56
Data-driven reverse engineering of signaling pathways using ensembles of dynamic models
Henriques, D., Villaverde, A. F., Rocha, M., Saez-Rodriguez, J., & Banga, J. R. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005379 · Cited by 44
A Network Approach to Wound Healing
Arodz, T., Bonchev, D., & Diegelmann, R. F. (2013) · Advances in Wound Care · doi:10.1089/wound.2012.0386 · Cited by 22
Integrated information as a measure of cognitive processes in coupled genetic repressilators
Abrego, L., & Zaikin, A. (2019) · Entropy · doi:10.3390/e21040382 · Cited by 5
Metadata
- Authors
- Meyer, P. E., Kontos, K., Lafitte, F., & Bontempi, G.
- Venue
- EURASIP Journal on Bioinformatics and Systems Biology
- Published
- 2007
- Volume
- 2007
- Pages
- 1-9
- ISSN
- 1687-4145
- Cited by
- 273
- References
- 0
- Language
- en
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