ArticleCancers2022
Classification of Breast Cancer Nottingham Prognostic Index Using High-Dimensional Embedding and Residual Neural Network.
Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed, 102 citations in OpenAlex.
- An Interpretable Deep Learning Framework for Biomarker Discovery in Complex Disease Survival Outcomes.bioRxiv : the preprint server for biology · 2025Article
- Comprehensive survival analysis of breast cancer patients: a bayesian network approach.BMC medical informatics and decision making · 2025Article
- Gelsolin (GSN) as a key regulator in estrogen receptor-positive breast cancer: implications for prognosis, chemotherapy sensitivity, and immune infiltration.Discover oncology · 2025Article
- High expression of SULF1 is associated with adverse prognosis in breast cancer brain metastasis.Animal models and experimental medicine · 2025Article
- The Clinicopathological and Prognostic Significance of the Expression of PD-L1 and MET Genes in Breast Cancer: Potential Therapeutic Targets.Current cancer drug targets · 2025Article
- Unsupervised Random Forest Identifies Important Genetic Prognostic Factors for Breast Cancer Survival Time.Cancer informatics · 2025Article
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- pathCLIP: Detection of Genes and Gene Relations From Biological Pathway Figures Through Image-Text Contrastive Learning.IEEE journal of biomedical and health informatics · 2024Article
- Quantitative prediction of postpartum hemorrhage in cesarean section on machine learning.BMC medical informatics and decision making · 2024Article
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- An uncertainty-based interpretable deep learning framework for predicting breast cancer outcome.BMC bioinformatics · 2024Article
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- Association of Overweight and Inflammatory Indicators with Breast Cancer: A Cross-Sectional Study in Chinese Women.International journal of women's health · 2024Article
- An Aging-Related lncRNA Signature Establishing for Breast Cancer Prognosis and Immunotherapy Responsiveness Prediction.Pharmacogenomics and personalized medicine · 2024Article
- Exploring the Correlation Between Hypoxia,Biomarker insights · 2024Article
- Serum Direct Bilirubin as a Biomarker for Breast Cancer.Breast cancer (Dove Medical Press) · 2024Article
- A hybrid deep learning scheme for MRI-based preliminary multiclassification diagnosis of primary brain tumors.Frontiers in oncology · 2024Article
- A framework for block-wise missing data in multi-omics.PloS one · 2024Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Nottingham Prognostics Index (NPI) is a prognostics measure that predicts operable primary breast cancer survival. The NPI value is calculated based on the size of the tumor, the number of lymph nodes, and the tumor grade. Next-generation sequencing advancements have led to measuring different biological indicators called multi-omics data. The availability of multi-omics data triggered the challenge of integrating and analyzing these various biological measures to understand the progression of the diseases. High-dimensional embedding techniques are incorporated to present the features in the lower dimension, i.e., in a 2-dimensional map. The dataset consists of three -omics: gene expression, copy number alteration (CNA), and mRNA from 1885 female patients. The model creates a gene similarity network (GSN) map for each omic using t-distributed stochastic neighbor embedding (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.