An Optimization-Driven Analysis Pipeline to Uncover Biomarkers and Signaling Paths: Cervix Cancer.
An Optimization-Driven Analysis Pipeline to Uncover Biomarkers and Signaling Paths: Cervix Cancer.
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DOI：
10.3390/microarrays4020287
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发表时间：
2015-06
期刊：
影响因子：
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通讯作者：
Isaza C
中科院分区：
文献类型：
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作者：
Lorenzo E;Camacho-Caceres K;Ropelewski AJ;Rosas J;Ortiz-Mojer M;Perez-Marty L;Irizarry J;Gonzalez V;Rodríguez JA;Cabrera-Rios M;Isaza C
Establishing how a series of potentially important genes might relate to each other is relevant to understand the origin and evolution of illnesses, such as cancer. High-throughput biological experiments have played a critical role in providing information in this regard. A special challenge, however, is that of trying to conciliate information from separate microarray experiments to build a potential genetic signaling path. This work proposes a two-step analysis pipeline, based on optimization, to approach meta-analysis aiming to build a proxy for a genetic signaling path.
