Prediction of human protein subcellular localization using deep learning
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
The metrics are used frequently in evaluating performance.
“The metrics are used in evaluating the performance frequently [64,65,66,67,68,69,70,71,72].”
From An Efficient Classifier for Alzheimer’s Disease Genes Identification (2018) · cites this paper as [69]
The citation lists haven’t been fetched yet
References 43 · Cited by 216
- Authors
- Wei, L., Ding, Y., Su, R., Tang, J., & Zou, Q.
- Affiliations
- Tianjin University (CN)
- Corresponding author
- Zou, Quan
- Venue
- Journal of Parallel and Distributed Computing
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 117
- Pages
- 212-217
- ISSN
- 0743-7315 (ISSN-L)
- OpenAlex
- W2747811776
- Cited by
- 216
- References
- 43
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 15 · 2023: 12 · 2022: 22 · 2021: 47 · 2020: 40 · 2019: 50 · 2018: 18 · 2017: 2
- FWCI
- 12.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Parallel and Distributed Computing (publishedVersion)
- Funders
- National Natural Science Foundation of China (61701340, 61702361, 61771331)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- protein localization, stacked autoencoder, feature representation learning, human protein
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.
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