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...
Main Authors: | Sunkyu Kim, Heewon Lee, Keonwoo Kim, Jaewoo Kang |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-04-01
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Series: | BMC Medical Genomics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12920-018-0349-7 |
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