C-loss is robust for zero-count.
<p>The observed zero values do not reflect real gene expression, which can be seen as outliers. When we use C-loss on zero count, small punishment (small loss value) can be imposed on the error. In contrast, <i>L</i><sub>2</sub> loss impose a larger punishment for the same error. This is to say, C-loss is more robust than <i>L</i><sub>2</sub> loss. Since the observed high-expressed gene expressions (non-zero count) are usually accurate, we use <i>L</i><sub>2</sub> loss to measure the error.</p> <p>(PDF)</p>
Publication Details
- Journal
- Figshare
- Published
- 2024-08-08
- DOI
- https://doi.org/10.1371/journal.pcbi.1012339.s003
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00