Article

Explainable-AI to Discover Associated Genes for Classifying Hepato-cellular Carcinoma from High-dimensional Data

2022-08-16

Abstract excerpt

Knowledge-based interpretations are essential for understanding the omic data set because of its nature, such as high dimension and hidden biological information in genes. When analyzing gene expression data with many genes and few samples, the main problem is to separate disease-related information from a vast quantity of redundant data and noise. This paper uses a reliable framework to determine important genes...

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Literature Corpus work: ace6ad6b-f5e5-5dfe-8472-1ccd0e4b35d7
DOI: 10.1101/2022.08.14.22278747

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