ArticleCancer informatics2007
Computational methods for the analysis of array comparative genomic hybridization.
Article in Cancer informatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of array-CGH studies implicates antiviral immunity pathways in the development of hepatocellular carcinoma.PloS one · 2011Pooled it
- Article
- A high-throughput computational framework for identifying significant copy number aberrations from array comparative genomic hybridisation data.Advances in bioinformatics · 2012Article
- aCGH.Spline--an R package for aCGH dye bias normalization.Bioinformatics (Oxford, England) · 2011Article
- Integrating the multiple dimensions of genomic and epigenomic landscapes of cancer.Cancer metastasis reviews · 2010Review
- A double-layered mixture model for the joint analysis of DNA copy number and gene expression data.Journal of computational biology : a journal of computational molecular cell biology · 2010Article
- Computational method for estimating DNA copy numbers in normal samples, cancer cell lines, and solid tumors using array comparative genomic hybridization.Journal of biomedicine & biotechnology · 2010Article
- Multiple aberrations of chromosome 3p detected in oral premalignant lesions.Cancer prevention research (Philadelphia, Pa.) · 2008Article
- A process for analysis of microarray comparative genomics hybridisation studies for bacterial genomes.BMC genomics · 2008Article
- ADaCGH: A parallelized web-based application and R package for the analysis of aCGH data.PloS one · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Array comparative genomic hybridization (array CGH) is a technique for assaying the copy number status of cancer genomes. The widespread use of this technology has lead to a rapid accumulation of high throughput data, which in turn has prompted the development of computational strategies for the analysis of array CGH data. Here we explain the principles behind array image processing, data visualization and genomic profile analysis, review currently available software packages, and raise considerations for future software development.
Indexed as
Identifiers
17992253PMC2067254What 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.