A many‐objective optimization‐based local tensor factorization model for skin cancer detection
Haochen Zhao,
Jie Wen,
Jinqian Yang
et al.
Abstract:SummaryExploring the associations between microRNAs (miRNAs) and diseases can identify potential disease features. Prediction of miRNA‐skin cancer associations has become an effective method for detecting skin cancer, as direct detection of skin cancer is challenging. However, traditional binary associations prediction methods overlook high‐order feature differences of miRNAs in different types of skin cancer. Although current tensor decomposition methods have addressed this, they assume a consistent compositi… Show more
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