Data-driven approaches to study breast cancer metabolism

Author(s):
Leegwater, H. (0000-0001-6003-1544)
Published
2026
Publication type
Doctoral Thesis

Abstract

This thesis addresses heterogeneity in breast cancer metabolism, as well as conceptual,

technological, and computational needs for integrating metabolomic and transcriptomic

datasets.

Breast cancerCancer metabolismCell linesLipidomicsMetabolomicsMulti-omics data integration Metabolic modelingLipidomics data normalization
Defense date
2026-05-19
Language
English
Supervisor(s)
Danen, E.H.J.; Water, B. van de
Advisor(s)
Le Dévédec, S.E.
Committee member(s)
Eck, M. van; Lange, E.C.M. de; Ramautar, R.; Snaar-Jagalska, B.E.; Martens, J.W.M.; Berkers, C.R.
Qualification
Ph.D.
Degree granting institution
Leiden Academic Centre for Drug Research (LACDR), Faculty of Science, Leiden University, Leiden
hdl
1887/4304464
doi
10.60602/1887-4304464
ISBN(s)
9789465371900