Article

AEGAN-Pathifier: A data augmentation method to improve cancer classification for imbalanced gene expression data

2023-09-13

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> Cancer classification has consistently been a challenging problem, with the main difficulties being high-dimensional data and the collection of patient samples. Concretely, obtaining patient samples is a costly and resource-intensive process, and imbalances often exist between samples. Moreover, expression data is characterized by high dimensionality, small samp...

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Literature Corpus work: 95bd1cf2-36f5-5489-9c3c-d61ef49c2a3d
DOI: 10.21203/rs.3.rs-3334539/v1

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