ReviewNature reviews. Genetics2011
Towards systematic functional characterization of cancer genomes.
Review in Nature reviews. Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer.Cancer research · 2023Article
- A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes.Bioinformatics (Oxford, England) · 2023Article
- Article
- A frequent somatic mutation in the 3'UTR of GAPDH facilitates the development of ovarian cancer by creating a miR‑125b binding site.Oncology reports · 2020Observational
- Markers as mediators: A review and synthesis of epigenetics literature.BioSocieties · 2019Article
- Precision oncology in Latin America: current situation, challenges and perspectives.Ecancermedicalscience · 2019Article
- Personalized Integrated Network Modeling of the Cancer Proteome Atlas.Scientific reports · 2018Article
- Personalized Cancer Models for Target Discovery and Precision Medicine.Trends in cancer · 2018Review
- Synthetic Lethal Vulnerabilities inCold Spring Harbor perspectives in medicine · 2018Review
- FusionPathway: Prediction of pathways and therapeutic targets associated with gene fusions in cancer.PLoS computational biology · 2018Article
- Genome-wide CRISPR-Cas9 Screen Identifies Leukemia-Specific Dependence on a Pre-mRNA Metabolic Pathway Regulated by DCPS.Cancer cell · 2018Article
- Bayesian variable selection with graphical structure learning: Applications in integrative genomics.PloS one · 2018Article
- Current Strategies and Applications for Precision Drug Design.Frontiers in pharmacology · 2018Review
- CRISPR/Cas-based customization of pooled CRISPR libraries.PloS one · 2018Article
- Precision medicine based on epigenomics: the paradigm of carcinoma of unknown primary.Nature reviews. Clinical oncology · 2017Review
- Article
- Statistical Contributions to Bioinformatics: Design, Modeling, Structure Learning, and Integration.Statistical modelling · 2017Article
- Genetic and Proteomic Interrogation of Lower Confidence Candidate Genes Reveals Signaling Networks in β-Catenin-Active Cancers.Cell systems · 2016Article
- Characterizing genomic alterations in cancer by complementary functional associations.Nature biotechnology · 2016Article
- DINGO: differential network analysis in genomics.Bioinformatics (Oxford, England) · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whole-genome approaches to identify genetic and epigenetic alterations in cancer genomes have begun to provide new insights into the range of molecular events that occurs in human tumours. Although in some cases this knowledge immediately illuminates a path towards diagnostic or therapeutic implementation, the bewildering lists of mutations in each tumour make it clear that systematic functional approaches are also necessary to obtain a comprehensive molecular understanding of cancer. Here we review the current range of methods, assays and approaches for genome-scale interrogation of gene function in cancer. We also discuss the integration of functional-genomics approaches with the outputs from cancer genome sequencing efforts.
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