Mut2Vec: distributed representation of cancerous mutations
Abstract Background Embedding techniques for converting high-dimensional sparse data into low-dimensional distributed representations have been gaining popularity in various fields of research. In deep learning models, embedding is commonly used and proven to be more effective than naive binary repr...
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Format: | Book |
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BMC,
2018-04-01T00:00:00Z.
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A1234.567 |
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