Gene Set Enrichment Analyses: lessons learned from the heart failure phenotype.

Vinicius TraganteJohannes M I H GhoJanine F FelixRamachandran S VasanNicholas L SmithBenjamin F Voightnull nullColin PalmerPim van der HarstJason H MooreFolkert W Asselbergs

Published in: BioData mining (2017)

This case study shows that proper data handling is essential to avoid false-positive results. Well-defined pipelines for quality control are needed to avoid reporting spurious results using GSEA.

Keyphrases

quality control
heart failure
electronic health record
genome wide
copy number
adverse drug
left ventricular
big data
genome wide identification
cardiac resynchronization therapy
acute heart failure
gene expression
data analysis
deep learning
machine learning
artificial intelligence
drug induced