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.File | Dimensione | Formato | |
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