Prediction of Time-Series Transcriptomic Gene Expression Based on Long Short-Term Memory with Empirical Mode Decomposition

Prediction of Time-Series Transcriptomic Gene Expression Based on Long Short-Term Memory with Empirical Mode Decomposition

RNA degradation can significantly affect the results of gene expression profiling, with subsequent analysis failing to faithfully represent the initial gene expression level. It is urgent to have an artificial intelligence approach to better utilize the limited data to obtain meaningful and reliable...

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Bibliographic Details
Main Authors: Ge, Q. (Author), Jia, E. (Author), Liu, Z. (Author), Lu, Z. (Author), Pan, M. (Author), Sheng, Y. (Author), Shi, H. (Author), Tu, J. (Author), Zhou, Y. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
article
deep learning
empirical mode decomposition
gene expression
gene expression level
gene frequency
intrinsic mode function
intrinsic mode functions
long short-term memory
nonlinear system
prediction
protein expression
short term memory
theoretical study
time series analysis
time-series
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