Protocol to identify functional doppelgängers and verify biomedical gene expression data using doppelgangerIdentifier

• Main Authors: Wang, Li Rong, Fan, Xiuyi, Goh, Wilson Wen Bin
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Science::Biological sciences; Gene Expression; Machine Learning
• Online Access: https://hdl.handle.net/10356/164598
• Institution: Nanyang Technological University

Functional doppelgängers (FDs) are independently derived sample pairs that confound machine learning model (ML) performance when assorted across training and validation sets. Here, we detail the use of doppelgangerIdentifier (DI), providing software installation, data preparation, doppelgänger ident...