17th International Conference on Fundamental and Applied Aspects of Physical Chemistry (Proceedings, Volume I) (2024) [F-05-P, pp. 227-230]
AUTHOR(S) / АУТОР(И): David Pirić 
, Vesna Vasić and Romana Masnikosa
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DOI: 10.46793/Phys.Chem24I.227P
ABSTRACT / САЖЕТАК:
Herein we present the analysis and comparing fundamental chemometric methods: fold change (FC) analysis and univariate statistics for identifying differentially expressed lipids in human serum samples into pancreatic cancer or control group, using a lipidomic datasets retrieved from the research article „Lipidomic profiling of human serum enables detection of pancreatic cancer“ by Wolrab et al. [1]. Our main objective was to assess and compare basic chemometric methods, as well as the potential using a smaller number of samples in lipidomic studies. We have concluded that it is possible to use a smaller number of samples for basic chemometric analysis, but the exact number depends on the level of accuracy required.
KEYWORDS / КЉУЧНЕ РЕЧИ:
ACKNOWLEDGEMENT / ПРОЈЕКАТ:
This research is funded by the Ministry of Science, Technological Development and Innovation, Republic of Serbia, Grants: No. 451-03-66/2024-03/200017.
REFERENCES / ЛИТЕРАТУРА:
- D. Wolrab et al., Lipidomic profiling of human serum enables detection of pancreatic cancer, Nature Communications, 13 (2022), 124
- Ludbrook, John and Hugh Dudley, The American statistician 52 (2) (1998) 127–32