Cen Wan
LecturerTeaches: Data Analytics using R, Introduction to Data Analytics using R
Cen joined Birkbeck in 2019 as a lecturer in computer science. Before that, he was a post-doctoral researcher in machine learning and bioinformatics at University College London (UCL), and jointly affiliated with the Francis Crick Institute. He was with the DDIP BBSRC flagship strategic LoLa project and the ProCovar ERC advanced grant project.
Contact Information
- Room
- MAL271
- Telephone
- 020 3926 1273
- Email address
- Enable JavaScript to view protected content.
- Personal web page
- http://www.dcs.bbk.ac.uk/~cen
Research
Areas of interest: Machine learning, data mining, bioinformatics, computational biology
Key Publications
- Protein function prediction is improved by creating synthetic feature samples with generative adversarial networks. (2020)
- Using Deep Maxout Neural Networks to improve the accuracy of function prediction from Protein Interaction Networks. (2019)
- Analysis of temporal transcription expression profiles reveal links between protein function and developmental stages of Drosophila melanogaster. (2017)
- Two methods for constructing a gene ontology-based feature network for a Bayesian network classifier and applications to datasets of aging-related genes. (2015)
- Prediction of the pro-longevity or anti-longevity effect of Caenorhabditis Elegans genes based on Bayesian classification methods. (2013)