The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses
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
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
Narisawa‐Saito, M., & Kiyono, T. (2007) · Cancer Science · doi:10.1111/j.1349-7006.2007.00546.x · Cited by 528
Support vector machines for predicting membrane protein types by using functional domain composition
Cai, Y.-D., Zhou, G.-P., & Chou, K.-C. (2003) · Biophysical Journal · doi:10.1016/s0006-3495(03)70050-2 · Cited by 284
RB acute loss induces centrosome amplification and aneuploidy in murine primary fibroblasts
Iovino, F., Lentini, L., Amato, A., & Di Leonardo, A. (2006) · Molecular Cancer · doi:10.1186/1476-4598-5-38 · Cited by 94
Cited by
Some remarks on protein attribute prediction and pseudo amino acid composition
Chou, K.-C. (2011) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2010.12.024 · Cited by 1,225
Guo, S.-H., Deng, E.-Z., Xu, L.-Q., Ding, H., Lin, H., Chen, W., & Chou, K.-C. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu083 · Cited by 375
Du, P., Wang, X., Xu, C., & Gao, Y. (2012) · Analytical Biochemistry · doi:10.1016/j.ab.2012.03.015 · Cited by 308
Hajisharifi, Z., Piryaiee, M., Mohammad Beigi, M., Behbahani, M., & Mohabatkar, H. (2014) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2013.08.037 · Cited by 294
Self-citationIdentification of Real MicroRNA Precursors with a Pseudo Structure Status Composition Approach
Liu, B., Fang, L., Liu, F., Wang, X., Chen, J., & Chou, K.-C. (2015) · PLOS ONE · doi:10.1371/journal.pone.0121501 · Cited by 238
Metadata
- Authors
- Esmaeili, M., Mohabatkar, H., & Mohsenzadeh, S.
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 263
- Issue
- 2
- Pages
- 203-209
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W2003613304
- Cited by
- 271
- References
- 4
- FWCI
- 10.56
- Type
- journal article
- Language
- en
- Open access
- closed
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: Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses. https://app.cochat.ai/papers/10.1016/j.jtbi.2009.11.016
- The paper
- Esmaeili, M., Mohabatkar, H., & Mohsenzadeh, S. (2010). Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses. Journal of Theoretical Biology. https://doi.org/10.1016/j.jtbi.2009.11.016
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.