The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams
Open accessAbstract
Background: Set comparisons permeate a large number of data analysis workflows, in particular workflows in biological sciences. Venn diagrams are frequently employed for such analysis but current tools are limited. Results: We have developed InteractiVenn, a more flexible tool for interacting with Venn diagrams including up to six sets. It offers a clean interface for Venn diagram construction and enables analysis of set unions while preserving the shape of the diagram. Set unions are useful to reveal differences and similarities among sets and may be guided in our tool by a tree or by a list of set unions. The tool also allows obtaining subsets’ elements, saving and loading sets for further analyses, and exporting the diagram in vector and image formats. InteractiVenn has been used to analyze two biological datasets, but it may serve set analysis in a broad range of domains. Conclusions: InteractiVenn allows set unions in Venn diagrams to be explored thoroughly, by consequence extending the ability to analyze combinations of sets with additional observations, yielded by novel interactions between joined sets. InteractiVenn is freely available online at: www.interactivenn.net.
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
Cites
Gene selection for cancer classification using support vector machines
Guyon, I., Weston, J., Barnhill, S., & Vapnik, V. (2002) · Machine Learning · doi:10.1023/a:1012487302797 · Cited by 9,954
Research works printed but not linked: 10
- D’Hont A, Denoeud F, Aury JM, et al. The banana (musa acuminata) genome and the evolution of monocotyledonous plants. Nature. 2012; 7410:213–7. · DOI · Paper page
- Hulsen T, de Vlieg J, Alkema W. Biovenn - a web application for the comparison and visualization of biological lists using area-proportional Venn diagrams. BMC Genomics. 2008; 9:488. · DOI · Paper page
- Pirooznia M, Nagarajan V, Deng Y. GeneVenn - a web application for comparing gene lists using Venn diagrams. Bioinformation. 2007; 1(10):420–2. · DOI
- Kestler HA, Muller A, Gress TM, Buchholz M. Generalized Venn diagrams: a new method of visualizing complex genetic set relations. Bioinformatics. 2005; 21(5):1592–5. · DOI
- Bardou P, Mariette J, Escudié F, Djemiel C, Klopp C. jvenn : an interactive Venn diagram viewer. BMC Bioinformatics. 2014; 15(293):1–7.
- Martin B, Chadwick W, Yi T, et al. VENNTURE - a novel Venn diagram investigational tool for multiple pharmacological dataset analysis. PLos One. 2012; 7(5):1–17. · doi:10.1371/annotation/27f1021c-b6f2-4b90-98bc-fcacd2679185
- Kim Y, Ignatchenko V, Yao CQ, et al. Identification of differentially expressed proteins in direct expressed prostatic secretions of men with organ-confined versus extracapsular prostate cancer. Mol Cell Proteomics. 2012; 11(12):1870–84. · DOI
- Pham T, Piersma S, Warmoes M, Jimenez C. On the beta-binomial model for analysis of spectral count data in label-free tandem mass spectrometry-based proteomics. Bioinformatics. 2010; 26(3):363–9. · DOI
- Tibshirani R, Hastie T, Narasimhan B, Chu G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. PNAS. 2002; 99(10):6567–572. · DOI · Paper page
- Christin C, Hoefsloot HCJ, Smilde AK, et al. A critical assessment of feature selection methods for biomarker discovery in clinical proteomics. Mol Cell Proteomics. 2013; 12(1):263–76. · DOI
Cited by
Wang, D. Y., Salem, J.-E., Cohen, J. V., Chandra, S., Menzer, C., Ye, F., Zhao, S., Das, S., Beckermann, K. E., Ha, L., et al. (2018) · JAMA Oncology · doi:10.1001/jamaoncol.2018.3923 · Cited by 2,674
A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage
Bekele, M. K., Pierdicca, R., Frontoni, E., Malinverni, E. S., & Gain, J. (2018) · Journal on Computing and Cultural Heritage · doi:10.1145/3145534 · Cited by 1,147
Formation of a protein corona on the surface of extracellular vesicles in blood plasma
Tóth, E. Á., Turiák, L., Visnovitz, T., Cserép, C., Mázló, A., Sódar, B. W., Försönits, A. I., Petővári, G., Sebestyén, A., Komlósi, Z., et al. (2021) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12140 · Cited by 522
Erny, D., Dokalis, N., Mezö, C., Castoldi, A., Mossad, O., Staszewski, O., Frosch, M., Villa, M., Fuchs, V., Mayer, A., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.10.010 · Cited by 478
Early life stress alters transcriptomic patterning across reward circuitry in male and female mice
Peña, C. J., Smith, M., Ramakrishnan, A., Cates, H. M., Bagot, R. C., Kronman, H. G., Patel, B., Chang, A. B., Purushothaman, I., Dudley, J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13085-6 · Cited by 219
Metadata
- Authors
- Heberle, H., Meirelles, G. V., da Silva, F. R., Telles, G. P., & Minghim, R.
- Venue
- BMC Bioinformatics
- Published
- 2015-05-22
- Volume
- 16
- Issue
- 1
- Pages
- 169-169
- ISSN
- 1471-2105 (ISSN-L)
- OpenAlex
- W1560020441
- Cited by
- 2,580
- References
- 1
- FWCI
- 24.83
- Type
- journal article
- Language
- en
- Open access
- gold
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: InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams. https://app.cochat.ai/papers/10.1186/s12859-015-0611-3
- The paper
- Heberle, H., Meirelles, G. V., da Silva, F. R., Telles, G. P., & Minghim, R. (2015). InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams. BMC Bioinformatics. https://doi.org/10.1186/s12859-015-0611-3
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.
