Data-driven knowledge discovery in polycystic kidney disease

Author(s):
Malas, T.
Published
2021
Publication type
Doctoral Thesis

Abstract

The use of data derived from genomics and transcriptomic to further develop our understanding of Polycystic Kidney Diseases and identify novel drugs for its treatment.

PKDData miningDrug discoveryRNA-seqDrug repurposingBiosemanticsBioinformaticsChemoinformatics
Defense date
2021-03-30
Language
English
Supervisor(s)
Peters, D.J.M.; Hoen, P.A.C. 't
Committee member(s)
Willems van Dijk, J.A.P.; Meulenbelt, I.; Evelo, C.T.A.; Eeden, F. van
Qualification
Ph.D.
Degree granting institution
Faculty of Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden
hdl
1887/3158169
ISBN(s)
9789464231601