Principles and strategies for developing network models in cancer.
review · Level V
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- Record sourced from PubMed, PMID 21414479.
- Also identified by DOI 10.1016/j.cell.2011.03.001 and PMC identifier 3082135.
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Abstract
The flood of genome-wide data generated by high-throughput technologies currently provides biologists with an unprecedented opportunity: to manipulate, query, and reconstruct functional molecular networks of cells. Here, we outline three underlying principles and six strategies to infer network models from genomic data. Then, using cancer as an example, we describe experimental and computational approaches to infer "differential" networks that can identify genes and processes driving disease phenotypes. In conclusion, we discuss how a network-level understanding of cancer can be used to predict drug response and guide therapeutics.
Medical subject headings
- Models, Genetic
- Neoplasms