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Semantic proximity does not establish scientific evidence.

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Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Network analysis of gene fusions in human cancerDOI 10.1186/1471-2105-14-s17-a13
Identification of cancer fusion drivers using network fusion centrality.Semantic proximity
Transcriptome sequencing to detect gene fusions in cancerSemantic proximity
Systematic deciphering of cancer genome networks.Semantic proximity
Principles and strategies for developing network models in cancer.Semantic proximity
Understanding Genotype-Phenotype Effects in Cancer via Network Approaches.Semantic proximity
The emerging complexity of gene fusions in cancer.Semantic proximity
An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancerSemantic proximity
Network of Cancer Genes: a web resource to analyze duplicability, orthology and network properties of cancer genes.Semantic proximity
The landscape of kinase fusions in cancerSemantic proximity
Gene network modeling via TopNet reveals functional dependencies between diverse tumor-critical mediator genes.Semantic proximity
Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysisSemantic proximity
Somatic mutations in early metazoan genes disrupt regulatory links between unicellular and multicellular genes in cancerSemantic proximity
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