Guidance on Crucial Parameters for Bioinformatic Analysis of Metabolomic Data
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Entering edit mode
3 months ago
Giovana • 0

As part of a systematic review, I am conducting a bioinformatic analysis of metabolomic data. I would like to know which parameters are crucially relevant in this context, such as p-value and FDR. My lack of familiarity with metabolomics prevents me from identifying which metrics are most appropriate for extracting data from original articles. Could someone with this knowledge provide guidance on the essential parameters I should consider?

Thank you.

metabolomic bioinformatic • 405 views
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Entering edit mode
3 months ago

Em geral, uma taxa de descoberta falsa de 5% (p ajustado<0,05 ) deve ser usada para qualquer teste estatístico em que múltiplas hipóteses independentes sejam testadas. Isso não é diferente para dados metabolômicos.

Como você não elaborou nada relacionado ao seu desenho experimental, desenho do estudo, tecnologia usada, etc., não há literalmente mais nada a escrever. Por exemplo, quem processou os dados para você e como o fizeram (os métodos)? Como os dados foram normalizados e dimensionados? Qual teste estatístico foi utilizado?

Kevin

[English]

In general, a false discovery rate of 5% (adjusted p<0.05) should be used for any statistical test in which multiple independent hypotheses are tested. This is no different for metabolomics data.

Since you have not elaborated anything related to your experimental design, study design, technology used, etc., there is literally nothing left to write. For example, who processed the data for you and how did they do it (their methods)? How was the data normalized and scaled? What statistical test was used

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Thank you - appreciate the translation.

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