Data Integrity Check:

  1. Checking the class labels - at least three replicates are required in each class.
  2. If the samples are paired, the pair labels must conform to the specified format.
  3. The data (except class labels) must not contain non-numeric values.
  4. The presence of missing values or features with constant values (i.e. all zeros)
Data processing information:
  • Checking data content...passed.
  • Samples are in rows and features in columns.
  • The uploaded file is in comma separated values (txt) format.
  • The uploaded data file contains 33 raman datas by 1581 (raman shift) data matrix.
  • 2 groups were detected in samples.
  • The uploaded data file contains 9 metadata group.
  • Users should choose one to the subsequent analysis.
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