HetEnc: a deep learning predictive model for multi-type biological dataset.

ABSTRACT:

Background

Researchers today are generating unprecedented amounts of biological data. One trend in current biological research is integrated analysis with multi-platform data. Effective integration of multi-platform data into the solution of a single or multi-task classification problem; however, is critical and challenging. In this study, we proposed HetEnc, a novel deep learning-based approach, for information domain separation.

Results

HetEnc includes both an unsupervised feature representation module and a supervised neural network module to handle multi-platform gene expression datasets. It first constructs three different encoding networks to represent the original gene expression data using high-level abstracted features. A six-layer fully-connected feed-forward neura

SUBMITTER: Wu L 

PROVIDER: S-EPMC6686264 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature