Metabolomics is a well-established tool in systems biology, especially in the top–down approach. Metabolomics experiments often results in discovery studies that provide intriguing biological hypotheses but rarely offer mechanistic explanation of such findings. In this light, the interpretation of metabolomics data can be boosted by deploying systems biology approaches.

From correlation to causation: analysis of metabolomics data using systems biology approaches / Rosato, Antonio*; Tenori, Leonardo; Cascante, Marta; De Atauri Carulla, Pedro Ramon; Martins dos Santos, Vitor A. P.; Saccenti, Edoardo. - In: METABOLOMICS. - ISSN 1573-3882. - STAMPA. - 14:(2018), pp. 37-57. [10.1007/s11306-018-1335-y]

From correlation to causation: analysis of metabolomics data using systems biology approaches

Rosato, Antonio
;
Tenori, Leonardo;Saccenti, Edoardo
2018

Abstract

Metabolomics is a well-established tool in systems biology, especially in the top–down approach. Metabolomics experiments often results in discovery studies that provide intriguing biological hypotheses but rarely offer mechanistic explanation of such findings. In this light, the interpretation of metabolomics data can be boosted by deploying systems biology approaches.
2018
14
37
57
Goal 3: Good health and well-being for people
Rosato, Antonio*; Tenori, Leonardo; Cascante, Marta; De Atauri Carulla, Pedro Ramon; Martins dos Santos, Vitor A. P.; Saccenti, Edoardo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1131416
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