most citedXOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data

111 citations · 111 across the 1 of their papers we have counts for

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1 paper

q-bio.GN2021★ 111 cited

XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data

Eloise Withnell, Xiaoyu Zhang, Kai Sun +1

The lack of explainability is one of the most prominent disadvantages of deep learning applications in omics. This "black box" problem can undermine the credibility and limit the p…