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Cancer diagnosis is generally the process of using some form of physical or genetic tests or exams, usually referred as patient data, to detect the disease. One of the main problems with cancer diagnosis systems is the lack of labeled data, as well as the difficulties of labeling pre-existing unlabeled data. Thus, there is a growing interest in exploring the use of unlabeled data as a way to improve...
micoRNA (miRNA) is a vital class of non-coding RNA genes, which participates in post-transcriptional gene regulation in eukaryotic cell. Interestingly, some close relationships between miRNA expression levels and several human diseases like cancers have been recently uncovered. Difficulties of identifying miRNAs via direct experimental method due to their special and temporal expression patterns make...
In this paper, the recently developed Extreme Learning Machine (ELM) is used for directing multicategory classification problems in the cancer diagnosis area. ELM avoids problems like local minima, improper learning rate and overfitting commonly faced by iterative learning methods and completes the training very fast. We have evaluated the multicategory classification performance of ELM on three benchmark...
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