Ayse Berceste Dincer

I am a fifth-year Ph.D. student in Computer Science at the University of Washington, advised by Prof. William Stafford Noble. I am interested in developing and using machine learning techniques for solving a wide range of problems, including problems in genomics and proteomics.


abdincer at cs.washington.edu


Selected Publications and Preprints

Dincer, A. B., Janizek, J. D., & Lee, S. I. (2020). Adversarial Deconfounding Autoencoder for learning robust gene expression embeddings. Bioinformatics, 36(Supplement 2), i573–i582. (Paper) (Talk)


Dincer, A. B., Lu Y. Y., & Noble, W. S. (2021). Inferring peptide coefficients from quantitative mass spectrometry data. Contributed talk at American Society for Mass Spectrometry (ASMS) 2021 and Intelligent Systems for Molecular Biology (ISMB) / European Conference on Computational Biology (ECCB) 2021 (best presentation award). (Talk)


Dincer, A. B., Janizek J. D., Celik, S., Hiranuma, N., Naxerova, K. & Lee, S. I. (2019). DeepProfile: Interpretable deep learning of latent variables from a compendium of expression profiles for 18 human cancers. Spotlight talk at Machine Learning in Computational Biology (MLCB) 2019. (Paper)