Mut2Vec: distributed representation of cancerous mutations

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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Bibliographic Details
Main Authors: Sunkyu Kim, Heewon Lee, Keonwoo Kim, Jaewoo Kang
Format: Article
Language:English
Published: BMC 2018-04-01
Series:BMC Medical Genomics
Subjects:
Mut2Vec
Distributed representation
Deep learning
Mutation embedding
Cancer
Online Access:http://link.springer.com/article/10.1186/s12920-018-0349-7

Internet

http://link.springer.com/article/10.1186/s12920-018-0349-7

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