The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
HemI: A Toolkit for Illustrating Heatmaps
Open accessAbstract
Recent high-throughput techniques have generated a flood of biological data in all aspects. The transformation and visualization of multi-dimensional and numerical gene or protein expression data in a single heatmap can provide a concise but comprehensive presentation of molecular dynamics under different conditions. In this work, we developed an easy-to-use tool named HemI (Heat map Illustrator), which can visualize either gene or protein expression data in heatmaps. Additionally, the heatmaps can be recolored, rescaled or rotated in a customized manner. In addition, HemI provides multiple clustering strategies for analyzing the data. Publication-quality figures can be exported directly. We propose that HemI can be a useful toolkit for conveniently visualizing and manipulating heatmaps. The stand-alone packages of HemI were implemented in Java and can be accessed at http://hemi.biocuckoo.org/down.php.
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
Java Treeview—extensible visualization of microarray data
Saldanha, A. J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth349 · Cited by 2,991
A survey of tools for variant analysis of next-generation genome sequencing data
Pabinger, S., Dander, A., Fischer, M., Snajder, R., Sperk, M., Efremova, M., Krabichler, B., Speicher, M. R., Zschocke, J., & Trajanoski, Z. (2014) · Briefings in Bioinformatics · doi:10.1093/bib/bbs086 · Cited by 596
Family-wide chemical profiling and structural analysis of PARP and tankyrase inhibitors
Wahlberg, E., Karlberg, T., Kouznetsova, E., Markova, N., Macchiarulo, A., Thorsell, A.-G., Pol, E., Frostell, Å., Ekblad, T., Öncü, D., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2121 · Cited by 457
An interactive power analysis tool for microarray hypothesis testing and generation
Seo, J., Gordish‐Dressman, H., & Hoffman, E. P. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btk052 · Cited by 152
Cooperation between Polycomb and androgen receptor during oncogenic transformationPreprint
Zhao, J. C., Yu, J., Runkle, C., Wu, L., Hu, M., Wu, D., Liu, J. S., Wang, Q., Qin, Z. S., & Yu, J. (2011) · Genome Research · doi:10.1101/gr.131508.111 · Cited by 140
Cytobank: Providing an Analytics Platform for Community Cytometry Data Analysis and Collaboration
Chen, T. J., & Kotecha, N. (2014) · Current topics in microbiology and immunology · doi:10.1007/82_2014_364 · Cited by 113
Mayday - integrative analytics for expression data
Battke, F., Symons, S., & Nieselt, K. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-121 · Cited by 108
Tools for managing and analyzing microarray data
Koschmieder, A., Zimmermann, K., Trißl, S., Stoltmann, T., & Leser, U. (2011) · Briefings in Bioinformatics · doi:10.1093/bib/bbr010 · Cited by 43
Data mining the human gut microbiota for therapeutic targets
Collison, M., Hirt, R. P., Wipat, A., Nakjang, S., Sanséau, P., & Brown, J. R. (2012) · Briefings in Bioinformatics · doi:10.1093/bib/bbs002 · Cited by 29
Cited by
Attention-based LSTM for Aspect-level Sentiment Classification
Wang, Y., Huang, M., zhu, X., & Zhao, L. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d16-1058 · Cited by 2,450
Self-citationThe Impact of Mutations in SARS-CoV-2 Spike on Viral Infectivity and Antigenicity
Li, Q., Wu, J., Nie, J., Zhang, L., Hao, H., Liu, S., Zhao, C., Zhang, Q., Liu, H., Nie, L., et al. (2020) · Cell · doi:10.1016/j.cell.2020.07.012 · Cited by 1,420
Self-citationZhao, Y., Cocerva, T., Cox, S., Tardif, S., Su, J.-Q., Zhu, Y.-G., & Brandt, K. K. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.11.372 · Cited by 272
Comparative Genomic Analysis of Bifidobacterium bifidum Strains Isolated from Different Niches
Lu, W., Pei, Z., Zang, M., Lee, Y.-K., Zhao, J., Chen, W., Wang, H., & Zhang, H. (2021) · Genes · doi:10.3390/genes12101504 · Cited by 17
Wei, X., Yu, L., Zhang, C., Ni, Y., Zhang, H., Zhai, Q., & Tian, F. (2023) · Foods · doi:10.3390/foods12050922 · Cited by 17
Metadata
- Authors
- Deng, W., Wang, Y., Liu, Z., Cheng, H., & Xue, Y.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-11-05
- Volume
- 9
- Issue
- 11
- Pages
- e111988
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2034611055
- Cited by
- 991
- References
- 9
- FWCI
- 21.90
- 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: HemI: A Toolkit for Illustrating Heatmaps. https://app.cochat.ai/papers/10.1371/journal.pone.0111988
- The paper
- Deng, W., Wang, Y., Liu, Z., Cheng, H., & Xue, Y. (2014). HemI: A Toolkit for Illustrating Heatmaps. PLoS ONE. https://doi.org/10.1371/journal.pone.0111988
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.