A deep auto-encoder model for gene expression prediction

A deep auto-encoder model for gene expression prediction

Abstract Background Gene expression is a key intermediate level that genotypes lead to a particular trait. Gene expression is affected by various factors including genotypes of genetic variants. With an aim of delineating the genetic impact on gene expression, we build a deep auto-encoder model to a...

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Bibliographic Details
Main Authors: Rui Xie, Jia Wen, Andrew Quitadamo, Jianlin Cheng, Xinghua Shi
Format: Article
Language:English
Published: BMC 2017-11-01
Series:BMC Genomics
Subjects:
Predictive model
Stacked denoising auto-encoder
Multilayer perceptron
Deep learning
Gene expression
Online Access:http://link.springer.com/article/10.1186/s12864-017-4226-0

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http://link.springer.com/article/10.1186/s12864-017-4226-0

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