| 1 |
A deep learning-based computational approach for discrimination of DNA N6- methyladenosine sites by fusing heterogeneous features
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| 2 |
Early and Accurate Detection and Diagnosis of Heart Disease using Intelligent Computational Model
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| 3 |
Prediction of N6- methyladenosine sites using convolution neural network model based on distributed feature representations
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| 4 |
An intelligent computational model for prediction of promoters and their strength via natural language processing
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| 5 |
kDeepBind: Prediction of RNA-Proteins binding sites using convolution neural network and k-gram features
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| 6 |
cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach
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| 7 |
An intelligent computational model for prediction of promoters and their strength via natural language processing
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| 8 |
Identification of prokaryotic promoters and their strength by integrating heterogeneous features
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| 9 |
iSS-CNN: Identifying splicing sites using convolution neural network
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| 10 |
iRNA-PseTNC: identification of RNA 5-methylcytosine sites using hybrid vector space of pseudo nucleotide composition
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| 11 |
iRNA-PseKNC(2methyl): Identify RNA 2’-O-methylation sites by convolution neural network and Chou’s pseudo components
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