ArticleDatabase : the journal of biological databases and curation2012
CancerMA: a web-based tool for automatic meta-analysis of public cancer microarray data.
Article in Database : the journal of biological databases and curation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
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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
15 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Transforming evidence synthesis: A systematic review of the evolution of automated meta-analysis in the age of AI.Research synthesis methods · 2026Pooled it
- Transcriptional assessment by microarray analysis and large-scale meta-analysis of the metabolic capacity of cardiac and skeletal muscle tissues to cope with reduced nutrient availability in Gilthead Sea Bream (Sparus aurata L.).Marine biotechnology (New York, N.Y.) · 2014Pooled it
- Meta-analysis of expression of l(3)mbt tumor-associated germline genes supports the model that a soma-to-germline transition is a hallmark of human cancers.International journal of cancer · 2014Pooled it
- A comprehensive survey of the approaches for pathway analysis using multi-omics data integration.Briefings in bioinformatics · 2022Review
- Charting the landscape of graphical displays for meta-analysis and systematic reviews: a comprehensive review, taxonomy, and feature analysis.BMC medical research methodology · 2020Review
- CD90/Thy-1, a Cancer-Associated Cell Surface Signaling Molecule.Frontiers in cell and developmental biology · 2019Review
- Sensitivity of Colorectal Cancer to Arginine Deprivation Therapy is Shaped by Differential Expression of Urea Cycle Enzymes.Scientific reports · 2018Article
- Identification of differentially expressed miRNAs associated with chronic kidney disease-mineral bone disorder.Frontiers of medicine · 2017Article
- BEX3 contributes to cisplatin chemoresistance in nasopharyngeal carcinoma.Cancer medicine · 2017Article
- A Database of Gene Expression Profiles of Korean Cancer Genome.Genomics & informatics · 2015Article
- Human cancer databases (review).Oncology reports · 2015Review
- A novel cohort of cancer-testis biomarker genes revealed through meta-analysis of clinical data sets.Oncoscience · 2014Article
- Identification of a class of human cancer germline genes with transcriptional silencing refractory to the hypomethylating drug 5-aza-2'-deoxycytidine.Oncoscience · 2014Article
- CancerEST: a web-based tool for automatic meta-analysis of public EST data.Database : the journal of biological databases and curation · 2014Article
- INMEX--a web-based tool for integrative meta-analysis of expression data.Nucleic acids research · 2013Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification of novel candidate markers is a key challenge in the development of cancer therapies. This can be facilitated by putting accessible and automated approaches analysing the current wealth of 'omic'-scale data in the hands of researchers who are directly addressing biological questions. Data integration techniques and standardized, automated, high-throughput analyses are needed to manage the data available as well as to help narrow down the excessive number of target gene possibilities presented by modern databases and system-level resources. Here we present CancerMA, an online, integrated bioinformatic pipeline for automated identification of novel candidate cancer markers/targets; it operates by means of meta-analysing expression profiles of user-defined sets of biologically significant and related genes across a manually curated database of 80 publicly available cancer microarray datasets covering 13 cancer types. A simple-to-use web interface allows bioinformaticians and non-bioinformaticians alike to initiate new analyses as well as to view and retrieve the meta-analysis results. The functionality of CancerMA is shown by means of two validation datasets.
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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.