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A new framework using deep auto-encoder and energy spectral density for medical waveform data classification and processing 

Karim, Ahmad M.; Guzel, Mehmet S.; Tolun, Mehmet R.; Kaya, Hilal; Celebi, Fatih V. (2019)
This paper proposes a new framework for medical data processing which is essentially designed based on deep autoencoder and energy spectral density (ESD) concepts. The main novelty of this framework is to incorporate ESD ...
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mirLSTM: A Deep Sequential Approach to MicroRNA Target Binding Site Prediction 

Paker, Ahmet; Ogul, Hasan (2019)
MicroRNAs (miRNAs) are small and non-coding RNAs of similar to 21-23 base length, which play critical role in gene expression. They bind the target mRNAs in the post-transcriptional level and cause translational inhibition ...

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AuthorCelebi, Fatih V. (1)Guzel, Mehmet S. (1)Karim, Ahmad M. (1)Kaya, Hilal (1)Ogul, Hasan (1)Paker, Ahmet (1)Tolun, Mehmet R. (1)Subject
Deep learning (2)
Bioinformatics (1)Deep auto-encoder (1)Energy spectral density (1)LSTM (1)Medical waveform data process (1)miRNA (1)miRNA target site (1)RNN (1)Sequence Alignment (1)... View MoreDate Issued
2019 (2)
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