A novel one-class classification approach to accurately predict disease-gene association in acute myeloid leukemia cancer.

Abstract excerpt

Disease causing gene identification is considered as an important step towards drug design and drug discovery. In disease gene identification and classification, the main aim is to identify disease genes while identifying non-disease genes are of less or no significant. Hence, this task can be defined as a one-class classification problem. Existing machine learning methods typically take into consideration known...

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