Figure 1
The flowchart of DAESTB. Step 1, a high-dimensional feature matrix of small molecule–miRNA association pairs is constructed; Step 2, feature dimension of small molecule–miRNA association pairs is educed by deep autoencoder to obtain potential features of association pairs; Step 3, XGBoost is used to predict potential associations between small molecule and miRNA.

The flowchart of DAESTB. Step 1, a high-dimensional feature matrix of small molecule–miRNA association pairs is constructed; Step 2, feature dimension of small molecule–miRNA association pairs is educed by deep autoencoder to obtain potential features of association pairs; Step 3, XGBoost is used to predict potential associations between small molecule and miRNA.

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close