Gene · 57477
Papers2,355
Newest first. Swiss-Prot's references are curated; PubTator's text mining finds papers that name the gene, not always ones about it.
341 to 360 of 2,355
Download this page as JSON| Title | Journal | Year | PMID | Found by | Source |
|---|---|---|---|---|---|
| Development and internal validation of an explainable machine-learning model to predict 3-year overall survival rate after radical cystectomy. | BMC Cancer | 2026 | 42116002 | PubTator, text mining | PubMed |
| AI Characterisation of Discordance Profiles Between Stress Electrocardiogram and Myocardial Tomoscintigraphy Using Random Forest XGBoost and SHAP. | Med Devices (Auckl) | 2026 | 42110503 | PubTator, text mining | PubMed |
| An integrative multi-modal computational framework identified hub prognostic targets and natural inhibitors for tobacco-specific nitrosamine-induced lung adenocarcinoma. | Comput Biol Chem | 2026 | 42107350 | PubTator, text mining | PubMed |
| Feasibility study of differentiating patients with levodopa-induced dyskinesia using cerebellar gray and white matter radiomics features from 3DT1WI images. | Front Aging Neurosci | 2026 | 42100485 | PubTator, text mining | PubMed |
| Underestimation of industrial contributions to VOC fluctuation in the Hangzhou Bay: Insights from simultaneous measurements and ML-SHAP analysis. | Environ Pollut | 2026 | 42097216 | PubTator, text mining | PubMed |
| An interpretable progressive residual network for automated multiclass diabetes diagnosis. | Sci Rep | 2026 | 42082595 | PubTator, text mining | PubMed |
| Hormonal and laboratory predictors of patent foramen ovale in cryptogenic ischemic events: a SHAP-enhanced logistic regression approach. | Front Neurol | 2026 | 42079826 | PubTator, text mining | PubMed |
| Building a SHAP interpretable prediction model for stroke-associated pneumonia [stroke-associated pneumonia (SAP)] in patients with aneurysmal subarachnoid hemorrhage (aSAH). | Front Neurol | 2026 | 42079824 | PubTator, text mining | PubMed |
| Development and Validation of a Prenatal Prediction Model for Neonatal Hyperbilirubinemia Based on Maternal Factors: Revealing Heterogeneous Risk Profiles Across Gestational Age Subgroups. | Int J Womens Health | 2026 | 42079798 | PubTator, text mining | PubMed |
| Interpretable QSAR and Complementary Docking for PARP1 Inhibitor Prioritization: Reliability Stratification and Near-Domain Screening. | Pharmaceuticals (Basel) | 2026 | 42075840 | PubTator, text mining | PubMed |
| Amino Acid Dysregulation in the Mother-Fetus Unit: Multi-Compartment Metabolomic Signatures of Gestational Diabetes Mellitus and Fetal Macrosomia. | Int J Mol Sci | 2026 | 42073989 | PubTator, text mining | PubMed |
| Interpretable Machine Learning for Predicting Splitting Strength of Asphalt Concrete: Insights from SHAP Analysis. | Materials (Basel) | 2026 | 42073802 | PubTator, text mining | PubMed |
| Development and external validation of an interpretable multimodal deep learning model for 5-year mortality in high-risk stage ii colorectal cancer. | Int J Colorectal Dis | 2026 | 42069945 | PubTator, text mining | PubMed |
| Unveiling the causal pathway of Parkinson's disease dysphonia: A voice causal generative model (VCGM) approach. | Comput Methods Programs Biomed | 2026 | 42068719 | PubTator, text mining | PubMed |
| Identifying Alzheimer's Disease Progression Subphenotypes Via a Graph-based Framework Using Electronic Health Records. | J Healthc Inform Res | 2026 | 42063485 | PubTator, text mining | PubMed |
| Learning to predict pellet quality: a machine learning and feature engineering approach. | J Anim Sci | 2026 | 42057264 | PubTator, text mining | PubMed |
| Linking External Variables to the Prediction of Anxiety and Suicide Attempt Cases. | Inquiry | 2026 | 42053170 | PubTator, text mining | PubMed |
| Machine learning for multiple sclerosis classification and disability prediction using clinical and MRI data. | Front Artif Intell | 2026 | 42038541 | PubTator, text mining | PubMed |
| Development of an interpretable machine learning model to predict complete remission and first adverse event in pediatric acute myeloid leukemia using routine clinical data. | Front Oncol | 2026 | 42038377 | PubTator, text mining | PubMed |
| XGBoost and SHAP based lymph node ratio thresholds for predicting overall survival in stage I to IIIA NSCLC. | Sci Rep | 2026 | 42031866 | PubTator, text mining | PubMed |
gene-search-2026-11-11-0.2.0
Sources 12
- ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- EMBL-EBI's patent proteinsNo added restrictions. Attribution expected
- GenBank's patent filesNo restrictions from NCBI. Submitters may hold rights
- HGNCCC0
- NCBI GenePublic domain (US government)
- NIH's project files and grant-paper linksPublic domain
- Open TargetsCC0 1.0
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- EMBL-EBI's patent proteinsEMBL-EBI's patent protein files from the EPO, JPO, KIPO and USPTO. EMBL-EBI: "EMBL-EBI itself places no additional restrictions on the use or redistribution of the data available via its Data Resources and Tools other than those provided by the original data owners" and "EMBL-EBI expects attribution (e.g. in publications, services or products) for the use of any of its Data Resources and Tools." Read on 11 Nov 2026 at https://www.ebi.ac.uk/about/terms-of-use
- GenBank's patent filesGenBank's patent files. NCBI: "NCBI places no restrictions on the use or distribution of the GenBank data. However, some submitters may claim patent, copyright, or other intellectual property rights in all or a portion of the data they have submitted." Read on 11 Nov 2026 at https://www.ncbi.nlm.nih.gov/genbank/about/
- HGNCCC0: https://www.genenames.org/about/license/
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH's project files and grant-paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
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