ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2012
Integrating genome and functional genomics data to reveal perturbed signaling pathways in ovarian cancers.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The trial behind it
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Signal-Oriented Pathway Analyses Reveal a Signaling Complex as a Synthetic Lethal Target for p53 Mutations.Cancer research · 2016Article
- Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model.BMC bioinformatics · 2016Article
- The center for causal discovery of biomedical knowledge from big data.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Conceptualization of molecular findings by mining gene annotations.BMC proceedings · 2013Article
- Latest research and treatment of advanced-stage epithelial ovarian cancer.Nature reviews. Clinical oncology · 2013Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Cancers are genetic diseases, driven by somatic mutations that perturb cellular signaling systems. In this study, we aim to reveal the signal transduction pathways that are perturbed by mutations in ovarian cancer. Our approach searches for genetic mutations that lead to a common cellular response, e.g., differential expression of a set of functional related genes. To this end, we first developed a knowledge mining approach to identify functional expression modules; we then developed a graph-based data mining approach to identify mutations that are highly related to the functional modules, as a means to re-constitute signal pathways. Our results indicate that unification of knowledge mining with data mining significantly enhance identification of potential signaling pathways in ovarian cancers.
Identifiers
22779056PMC3392049W36186767What 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.