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    <identifier>10.57760/sciencedb.13884</identifier>
    <datestamp>2024-09-25T10:59:21Z</datestamp>
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  <dc:date>2024-09-25</dc:date>
  <dc:title>Combined analysis results of metabolites and differentially expressed proteins</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.13884</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Multi-omics research mainly consists of two parts: 1) association analysis based on statistical methods; 2) association analysis based on metabolic pathway analysis.(I) Association heat mapThe correlation and p-value of two omics data are calculated by Pearson Correlation analysis, and the table shown below is obtained (see &amp;quot;cor.csv&amp;quot; for details)II) Association scatter plotBy calculating the correlation of two omics data for each sample, the distribution of different samples is examined, and a linear regression equation is constructed to calculate the correlation coefficient (as shown in the figure).</dc:description>
  <dc:subject>Metabolomics; proteomics; multi-omics; combined analysis</dc:subject>
  <dc:creator>Jianhui Yan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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