Positive control as a validation strategy in multiblock analysis: an implementation to a breast cancer subtypes study

ROCHA, DARIO; FERNÁNDEZ, ELMER ANDRÉS; GONZALEZ MONTORO, ALDANA; PRATO, LAURA

Cordoba

Congreso; XXI CONGRESO ARGENTINO DE BIOINGENIERÍA - SABI 2017; 2017

Sociedad Argentina de Bioingenieria

Abstract? In molecular biology, modern technologies generate large databases of certain phenomena allowing to studythe same group of individuals from different omics views. This provides data blocks that can be analyzed together throughtechniques, such as Multiple Factor Analysis (MFA), that allow a multidimensional exploratory approach. When two datablocks provide different information on the same phenomenon, the differences observed could arise from actual biologicalfacts but, they could as well be a result of a confounding factor such as the technology used to obtain the data. In this study,we used MFA to analyze two data blocks (a transcriptomic block and a proteomic block) of gene expression on breast cancerpatients, and added a third data block (also transcriptomic but gathered through a different technology) as a positivecontrol. Both transcriptomic data blocks provided highly similar information between them, but different to the informationprovided by the proteomic block; hence the information provided by the different blocks represent different attributes of abiological phenomenon.