Portal de Periódicos da CAPES

An Optimization-Driven Analysis Pipeline to Uncover Biomarkers and Signaling Paths: Cervix Cancer

2015; Multidisciplinary Digital Publishing Institute; Volume: 4; Issue: 2 Linguagem: Inglês

10.3390/microarrays4020287

2076-3905

Enery Lorenzo, Katia I. Camacho‐Cáceres, Alexander J. Ropelewski, Juan Fernando Rosas, Michael Ortiz-Mojer, Lynn M. Pérez‐Marty, Juan Irizarry, Valerie Gonzalez, Jesús Andrés Rodríguez Sarasty, Mauricio Cabrera‐Ríos, Clara E. Isaza,

Cell Image Analysis Techniques

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.