ArticleNucleic acids research2013
DigSee: Disease gene search engine with evidence sentences (version cancer).
Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
74 citing papers in PubMed.
- Disentangling Heterogeneous Molecular Networks for Multi-Omics-Driven Cancer Driver Discovery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Uncertainty-aware graph structure optimization with ensemble learning for enhanced cancer gene identification.Cell reports methods · 2026Article
- Antifibrotic Effects of Yi-Qi-Jian-Pi-Xiao-Yu Formula in Kidney via HIF1A-Driven M1 Macrophage Polarization.Phytochemical analysis : PCA · 2026Article
- Multiplex networks-based directed graph neural network for cancer driver gene identification.PLoS computational biology · 2026Article
- M-GNN: A Topology-Enhanced Multi-Modal Graph Neural Network for Cancer Driver Gene Prediction.Metabolites · 2026Article
- GRAFT: a graph-aware fusion transformer for cancer driver gene prediction.Briefings in bioinformatics · 2026Article
- AI-based mining of biomedical literature: Applications for drug repurposing for the treatment of dementia.Artificial intelligence in medicine · 2025Article
- Deep graph convolutional network-based multi-omics integration for cancer driver gene identification.Briefings in bioinformatics · 2025Article
- ENQUIRE automatically reconstructs, expands, and drives enrichment analysis of gene and Mesh co-occurrence networks from context-specific biomedical literature.PLoS computational biology · 2025Article
- MONet: cancer driver gene identification algorithm based on integrated analysis of multi-omics data and network models.Experimental biology and medicine (Maywood, N.J.) · 2025Article
- MODIG: An Attention Mechanism-Based Approach to Cancer Driver Gene Identification.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Exploration of Pharmacological Mechanisms of Dapagliflozin against Type 2 Diabetes Mellitus through PI3K-Akt Signaling Pathway based on Network Pharmacology Analysis and Deep Learning Technology.Current computer-aided drug design · 2025Article
- Towards simplified graph neural networks for identifying cancer driver genes in heterophilic networks.Briefings in bioinformatics · 2024Article
- Unveiling the Anti-Obesity Potential of Thunder God Vine: Network Pharmacology and Computational Insights into Celastrol-like Molecules.International journal of molecular sciences · 2024Article
- SSCI: Self-Supervised Deep Learning Improves Network Structure for Cancer Driver Gene Identification.International journal of molecular sciences · 2024Article
- Article
- VAIV bio-discovery service using transformer model and retrieval augmented generation.BMC bioinformatics · 2024Article
- ECD-CDGI: An efficient energy-constrained diffusion model for cancer driver gene identification.PLoS computational biology · 2024Article
- Multiview representation learning for identification of novel cancer genes and their causative biological mechanisms.Briefings in bioinformatics · 2024Article
- Exploring the therapeutic potential of garlic in alcoholic liver disease: a network pharmacology and experimental validation study.Genes & nutrition · 2024Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological events such as gene expression, regulation, phosphorylation, localization and protein catabolism play important roles in the development of diseases. Understanding the association between diseases and genes can be enhanced with the identification of involved biological events in this association. Although biological knowledge has been accumulated in several databases and can be accessed through the Web, there is no specialized Web tool yet allowing for a query into the relationship among diseases, genes and biological events. For this task, we developed DigSee to search MEDLINE abstracts for evidence sentences describing that 'genes' are involved in the development of 'cancer' through 'biological events'. DigSee is available through http://gcancer.org/digsee.
Indexed as
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What OpenQuestion holds
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.