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
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article

C-loss is robust for zero-count.

Figshare
Gene expression and cancer classification
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C-loss is robust for zero-count.

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Abstract

<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>

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Gene expression and cancer classification
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C-loss is robust for zero-count. · Figshare (2024) | TGRS Research Map | TGRS