ArticleSTAR protocols2022
Network analysis of TCGA and GTEx gene expression datasets for identification of trait-associated biomarkers in human cancer.
Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Multi-cohort integration and machine learning identify CPVL as a novel oncogenic driver in gastric cancer.Discover oncology · 2026Article
- Immune gene diversity and STING1 variants in shaping cancer immunity across different genetic ancestry populations.Cell reports · 2026Article
- Beyond olfaction: New insights into human odorant binding proteins.Protein science : a publication of the Protein Society · 2026Review
- Identification of candidate biomarker MRPL23 and its prognostic potential in non-small cell lung cancer with emphasis on the squamous cell carcinoma subtype.Frontiers in oncology · 2026Article
- Machine learning-driven identification of DLL3 as a molecular target and development of a DLL3-binding cyclic peptide for glioblastoma.Frontiers in oncology · 2026Article
- Assessment of chemical risk factor for breast cancer based on gene expression profiles.Scientific reports · 2025Article
- DriverOmicsNet: an integrated graph convolutional network for multi-omics exploration of cancer driver genes.Briefings in bioinformatics · 2025Article
- Epigenetic editing and epi-drugs: a combination strategy to simultaneously target KDM4 as a novel anticancer approach.Clinical epigenetics · 2025Article
- TRanscriptome ANalysis of StratifiEd CohorTs (TRANSECT) enables automated assessment of global gene regulation linked to disparate expression in user defined genes and gene sets.NAR genomics and bioinformatics · 2025Article
- The Theranostic Genome.Nature communications · 2024Article
- Prognostic potential of CUL3 ligase with differential roles in luminal A and basal type breast cancer tumors.Scientific reports · 2024Article
- Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy.Frontiers in immunology · 2024Review
- Comprehensive Profiling and Therapeutic Insights into Differentially Expressed Genes in Hepatocellular Carcinoma.Cancers · 2023Article
- Development and Experimental Validation of a Novel Prognostic Signature for Gastric Cancer.Cancers · 2023Article
- Validation of transcriptome signature reversion for drug repurposing in oncology.Briefings in bioinformatics · 2023Article
- The Clinical Relevance and Functional Implications of Thymosin Beta-10 in Glioma.Genetics research · 2023Article
- Prognostic significance of MATR3 in stage I and II non-small cell lung cancer patients.Journal of cancer research and clinical oncology · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Advances in high-throughput sequencing technologies now yield unprecedented volumes of OMICs data with opportunities to conduct systematic data analyses and derive novel biological insights. Here, we provide protocols to perform differential-expressed gene analysis of TCGA and GTEx RNA-Seq data from human cancers, complete integrative GO and network analyses with focus on clinical and survival data, and identify differential correlation of trait-associated biomarkers. For complete details on the use and execution of this protocol, please refer to Chen and MacDonald (2021).
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