ArticleGenome biology2008
An improved method for detecting and delineating genomic regions with altered gene expression in cancer.
Article in Genome biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Genomic landscape of diffuse glioma revealed by whole genome sequencing.Nature communications · 2025Article
- Efficient weighted univariate clustering maps outstanding dysregulated genomic zones in human cancers.Bioinformatics (Oxford, England) · 2020Article
- Mutational mechanisms of amplifications revealed by analysis of clustered rearrangements in breast cancers.Annals of oncology : official journal of the European Society for Medical Oncology · 2018Article
- SegCorr a statistical procedure for the detection of genomic regions of correlated expression.BMC bioinformatics · 2017Article
- A somatic-mutational process recurrently duplicates germline susceptibility loci and tissue-specific super-enhancers in breast cancers.Nature genetics · 2017Article
- Recurrent transcriptional clusters in the genome of mouse pluripotent stem cells.Nucleic acids research · 2012Article
- Network modeling of the transcriptional effects of copy number aberrations in glioblastoma.Molecular systems biology · 2011Article
- Virtual CGH: an integrative approach to predict genetic abnormalities from gene expression microarray data applied in lymphoma.BMC medical genomics · 2011Article
- Negative regulation of tumor suppressor p53 by microRNA miR-504.Molecular cell · 2010Article
- Precise fluorophore lifetime mapping in live-cell, multi-photon excitation microscopy.Optics express · 2010Article
- Bayesian DNA copy number analysis.BMC bioinformatics · 2009Article
- Gene set enrichment analysis using linear models and diagnostics.Bioinformatics (Oxford, England) · 2008Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genomic regions with altered gene expression are a characteristic feature of cancer cells. We present a novel method for identifying such regions in gene expression maps. This method is based on total variation minimization, a classical signal restoration technique. In systematic evaluations, we show that our method combines top-notch detection performance with an ability to delineate relevant regions without excessive over-segmentation, making it a significant advance over existing methods. Software (Rendersome) is provided.
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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.