Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model

标题
Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model
作者
关键词
Yeast, Transcription, Gene expression, Transcriptomic machinery, Signal transduction, Deep learning, Deep hierarchical neural network, Unsupervised learning, Data mining
出版物
BMC BIOINFORMATICS
Volume 17, Issue S1, Pages -
出版商
Springer Nature
发表日期
2016-01-11
DOI
10.1186/s12859-015-0852-1

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started