SomVarIUS: somatic variant identification from unpaired tissue samples
نویسندگان
چکیده
منابع مشابه
Unsupervised Learning of Predictors from Unpaired Input-Output Samples
Unsupervised learning is the most challenging problem in machine learning and especially in deep learning. Among many scenarios, we study an unsupervised learning problem of high economic value — learning to predict without costly pairing of input data and corresponding labels. Part of the difficulty in this problem is a lack of solid evaluation measures. In this paper, we take a practical appr...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2015
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btv685