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|Title:||A New Approach for Identifcation of Cancer-related Pathways using Protein Networks and Genomic Data|
Gubitoso, Marco D.
Reis, Marcelo S.
Souza, Sandro J. de
|Portuguese Abstract:||Cancer cells have anomalous development and proliferation due to disturbances in their control systems. Te study of the behavior of cellular control system requires high-throughput dynamical data. Unfortunately, this type of data is not largely available. Tis fact motivates the main issue of this article: how to use static omics data and available biological knowledge to get new information about the elements of the control system in cancer cells. Two important measures to access the state of the cellular control system are the gene expression profle and the signaling pathways. Tis article uses a combination of these two static omics data to gain insights on the states of a cancer cell. To extract information from this kind of data, a statistical computational model was formalized and implemented. In order to exemplify the application of some aspects of the developed conceptual framework, we verifed the hypothesis that diﬀerent types of cancer cells have diﬀerent disturbed signaling pathways. To this end, we developed a method that recovers small protein networks, called motifs, which are diﬀerentially represented in some subtypes of breast cancer. Tese diﬀerentially represented motifs are enriched with specifc gene ontologies as well as with new putative cancer genes.|
|Appears in Collections:||ICe - Artigos publicados em periódicos|
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|A New Approach for Identification of Cancer-related Pathways using Protein Networks and Genomic Data.pdf||SandroSouza_ICe_New Approach_2016||2,22 MB||Adobe PDF|
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