ArticleNature communications2017
Genomic regression analysis of coordinated expression.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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.
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Who cites it
14 citing papers in PubMed.
- Biomarker discovery and patient stratification in pancreatic cancer using incomplete multi-omics data.PLoS computational biology · 2026Article
- HDAC7 promotes renal cancer progression by reprogramming branched-chain amino acid metabolism.Science advances · 2025Article
- A Noise-Tolerating Gene Association Network Uncovering an Oncogenic Regulatory Motif in Lymphoma Transcriptomics.Life (Basel, Switzerland) · 2023Article
- Assessment of Diagnosis, Prognosis and Immune Infiltration Response to the Expression of the Ferroptosis-Related Molecule HAMP in Clear Cell Renal Cell Carcinoma.International journal of environmental research and public health · 2023Article
- Lung Cancer Computational Biology and Resources.Cold Spring Harbor perspectives in medicine · 2022Review
- The TGF-β/HDAC7 axis suppresses TCA cycle metabolism in renal cancer.JCI insight · 2021Article
- Article
- New novel non-MHC genes were identified for cervical cancer with an integrative analysis approach of transcriptome-wide association study.Journal of Cancer · 2021Article
- Teleological role of L-2-hydroxyglutarate dehydrogenase in the kidney.Disease models & mechanisms · 2020Article
- Pan-cancer driver copy number alterations identified by joint expression/CNA data analysis.Scientific reports · 2020Article
- Article
- Coordination Analysis of Gene Expression Points to the Relative Impact of Different Regulators During Endoplasmic Reticulum Stress.DNA and cell biology · 2019Article
- Integrated analysis identified core signal pathways and hypoxic characteristics of human glioblastoma.Journal of cellular and molecular medicine · 2019Article
- Co-regulated gene expression of splicing factors as drivers of cancer progression.Scientific reports · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Co-expression analysis is widely used to predict gene function and to identify functionally related gene sets. However, co-expression analysis using human cancer transcriptomic data is confounded by somatic copy number alterations (SCNA), which produce co-expression signatures based on physical proximity rather than biological function. To better understand gene-gene co-expression based on biological regulation but not SCNA, we describe a method termed "Genomic Regression Analysis of Coordinated Expression" (GRACE) to adjust for the effect of SCNA in co-expression analysis. The results from analyses of TCGA, CCLE, and NCI60 data sets show that GRACE can improve our understanding of how a transcriptional network is re-wired in cancer. A user-friendly web database populated with data sets from The Cancer Genome Atlas (TCGA) is provided to allow customized query.
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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.