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SigUNet: Signal peptide recognition based on semantic segmentation
Jhe Ming Wu
, Yu Chen Liu
, Darby Tien Hao Chang
Department of Electrical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Citations (Scopus)
Overview
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Dive into the research topics of 'SigUNet: Signal peptide recognition based on semantic segmentation'. Together they form a unique fingerprint.
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Engineering
Current Signal
100%
Computervision
50%
Deep Learning Method
50%
Experimental Result
50%
Model Data
50%
Model Reduction
50%
Convolutional Neural Network
50%
Hidden Layer
50%
Deep Neural Network
50%
Complex Network
50%
Recognizer
50%
Chemical Engineering
Neural Network
100%
Deep Learning Method
50%
Deep Neural Network
50%
Neuroscience
Signal Peptide
100%
Neural Network
33%
Hidden Markov Model
11%
Protein Targeting
11%
Biochemistry, Genetics and Molecular Biology
Signal Peptide
100%
Protein Targeting
11%
Hidden Markov Model
11%
Keyphrases
Advanced Networks
11%
Protein Sorting
11%
Active Function
11%