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Table 1 The table reports the m/z values selected in [3] for the classification of the same dataset with four different models

From: A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection

m/z features in[3]

stable feature in our model

818.480

Yes

1001.654

Yes

1144.796

Yes

1255.593

Yes

1276.861

Yes

2374.244

No

4260.403

Yes

4292.900

Yes

4377.853

Yes

6004.416

Yes

6548.771

Yes

7046.018

Yes

7060.121

Yes

7096.922

No

7202.716

Yes

8540.536

Yes

8605.678

Yes

8664.385

No

8706.065

Yes

8709.548

Yes

9367.113

No

9870.937

No

  1. The values in bold represent the features recurring between the various models reported by the authors. As it can be seen from the table, the proposed method selects as stable features most of the values and all the recurring m/z. Since our data are subject to a re-sampling step before feature selection, the matching is measured up to a small approximation error.