Back
  1. Home
  2. Profile of Rebecca Ting Jiin LOO (Unilu)
Profil

LOO Rebecca Ting Jiin

University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Biomedical Data Science

ORCID
0000-0002-7566-1677
Main Referenced Co-authors
GLAAB, Enrico  (1)
MACCHI, Mirco  (1)
NASTA, Francesco  (1)
SOUDY, Mohamed  (1)
Main Referenced Keywords
bioinformatics (1); biomarker signature modeling (1); Cognitive decline (1); complex diseases (1); Computational Biology (1);
Main Referenced Unit & Research Centers
Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group) (1)
Main Referenced Disciplines
Computer science (1)
Engineering, computing & technology: Multidisciplinary, general & others (1)
Human health sciences: Multidisciplinary, general & others (1)
Biotechnology (1)
Life sciences: Multidisciplinary, general & others (1)

Publications (total 2)

The most downloaded
47 downloads
LOO, R. T. J., SOUDY, M., NASTA, F., MACCHI, M., & GLAAB, E. (23 September 2024). Bioinformatics approaches for studying molecular sex differences in complex diseases. Briefings in Bioinformatics, 25 (6). doi:10.1093/bib/bbae499 https://hdl.handle.net/10993/62268

The most cited

2 citations (Scopus®)

LOO, R. T. J., SOUDY, M., NASTA, F., MACCHI, M., & GLAAB, E. (23 September 2024). Bioinformatics approaches for studying molecular sex differences in complex diseases. Briefings in Bioinformatics, 25 (6). doi:10.1093/bib/bbae499 https://hdl.handle.net/10993/62268

LOO, R. T. J. (2025). Cross-cohort statistical and machine learning analysis of complications in Parkinson's disease [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/64498

LOO, R. T. J., SOUDY, M., NASTA, F., MACCHI, M., & GLAAB, E. (23 September 2024). Bioinformatics approaches for studying molecular sex differences in complex diseases. Briefings in Bioinformatics, 25 (6). doi:10.1093/bib/bbae499
Peer Reviewed verified by ORBi

Contact ORBilu