ArticleBriefings in bioinformatics2020
MutEx: a multifaceted gateway for exploring integrative pan-cancer genomic data.
Article in Briefings in bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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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.
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Who cites it
10 citing papers in PubMed.
- Comprehensive Pan-Cancer Mutation Density Patterns in Enhancer RNA.International journal of molecular sciences · 2023Article
- Somatic mutation effects diffused over microRNA dysregulation.Bioinformatics (Oxford, England) · 2023Article
- Review
- Modeling the relationship between gene expression and mutational signature.Quantitative biology (Beijing, China) · 2023Article
- Surveying mutation density patterns around specific genomic features.Genome research · 2022Article
- Article
- Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion.Briefings in bioinformatics · 2022Article
- Comprehensive Analysis of Co-Mutations Identifies Cooperating Mechanisms of Tumorigenesis.Cancers · 2022Article
- Article
- Advancing Pan-cancer Gene Expression Survial Analysis by Inclusion of Non-coding RNA.RNA biology · 2020Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Somatic mutation and gene expression dysregulation are considered two major tumorigenesis factors. While independent investigations of either factor pervade, studies of associations between somatic mutations and gene expression changes have been sporadic and nonsystematic. Utilizing genomic data collected from 11 315 subjects of 33 distinct cancer types, we constructed MutEx, a pan-cancer integrative genomic database. This database records the relationships among gene expression, somatic mutation and survival data for cancer patients. MutEx can be used to swiftly explore the relationship between these genomic/clinic features within and across cancer types and, more importantly, search for corroborating evidence for hypothesis inception. Our database also incorporated Gene Ontology and several pathway databases to enhance functional annotation, and elastic net and a gene expression composite score to aid in survival analysis. To demonstrate the usability of MutEx, we provide several application examples, including top somatic mutations associated with the most extensive expression dysregulation in breast cancer, differential mutational burden downstream of DNA mismatch repair gene mutations and composite gene expression score-based survival difference in breast cancer. MutEx can be accessed at http://www.innovebioinfo.com/Databases/Mutationdb_About.php.
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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.