Ensemble gene function prediction database reveals genes important for complex I formation in Arabidopsis thaliana

• Main Authors: Hansen, Bjoern Oest, Meyer, Etienne H., Ferrari, Camilla, Vaid, Neha, Movahedi, Sara, Vandepoele, Klaas, Nikoloski, Zoran, Mutwil, Marek
• Other Authors: School of Biological Sciences
• Format: Article
• Language: English
• Published: 2019
• Subjects: Gene Function Prediction; DRNTU::Science::Biological sciences; Ensemble Prediction
• Online Access: https://hdl.handle.net/10356/90274; http://hdl.handle.net/10220/48497
• Institution: Nanyang Technological University

Recent advances in gene function prediction rely on ensemble approaches that integrate results from multiple inference methods to produce superior predictions. Yet, these developments remain largely unexplored in plants. We have explored and compared two methods to integrate 10 gene co‐function netw...