The definition of the research question will also direct the choice of the most suitable experimental design and, consequently, will shape the data analysis plan, which is a critical part of metabolomics. A common type of research question consists of comparing groups of samples, where a group can be defined as a set of biological samples with an important characteristic in common. The last point is particularly critical, and it is also one of the weaknesses of many large-scale metabolomics research projects for biomarker discovery. Estimating, a priori, how many samples should be analyzed to arrive at a particular level of certainty is often difficult if impossible. Experimental Design is the field in statistics aiming to maximize the efficiency of experiments: as much information as possible is obtained with the least effort. The peak list will be then the output of a specific software and to exactly reproduce it, it would be mandatory to use the very same software

Franceschi, P.; Yanes, O.; Wehrens, R. (2019). Study design and preparation. In: Metabolomics: practical guide to design and analysis (editor(s) Wehrens, R.; Salek, R.): Taylor & Francis: 15-33. doi: 10.1201/9781315370583. handle: https://hdl.handle.net/10449/95975

Study design and preparation

Franceschi, P.
Primo
;
2019-01-01

Abstract

The definition of the research question will also direct the choice of the most suitable experimental design and, consequently, will shape the data analysis plan, which is a critical part of metabolomics. A common type of research question consists of comparing groups of samples, where a group can be defined as a set of biological samples with an important characteristic in common. The last point is particularly critical, and it is also one of the weaknesses of many large-scale metabolomics research projects for biomarker discovery. Estimating, a priori, how many samples should be analyzed to arrive at a particular level of certainty is often difficult if impossible. Experimental Design is the field in statistics aiming to maximize the efficiency of experiments: as much information as possible is obtained with the least effort. The peak list will be then the output of a specific software and to exactly reproduce it, it would be mandatory to use the very same software
Settore CHEM-01/A - Chimica analitica
2019
Franceschi, P.; Yanes, O.; Wehrens, R. (2019). Study design and preparation. In: Metabolomics: practical guide to design and analysis (editor(s) Wehrens, R.; Salek, R.): Taylor & Francis: 15-33. doi: 10.1201/9781315370583. handle: https://hdl.handle.net/10449/95975
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