michiel.stock@ugent.be@KERMIT, office 110.54(+32) 9 264.60.18 Stock Michiel https://orcid.org/0000-0003-0903-6061Biblio UGentGoogle Scholar #michielstockhttps://michielstock.github.io/
Research Interests:
Machine learning methods for understanding, predicting and controlling community ecosystems.
Learning from networks
Author Editor Lecturer Supervisor Graduates Awards
Name:
(1) A decoy-free approach to the identification of peptidesG. Gonnelli, M. Stock, J. Verwaeren, D. Maddelein, B. De Baets, L. Martens and S. Degroeve(2015) JOURNAL OF PROTEOME RESEARCH. 14, 1792-1798.