CNN-BLSTM based deep learning framework for eukaryotic kinome classification: An explainability based approach-Reference-Cited by-同舟云学术

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CNN-BLSTM based deep learning framework for eukaryotic kinome classification: An explainability based approach

Published:2024-10 Issue: Volume:112 Page:108169
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

John Chinju^ORCID,Sahoo Jayakrushna^ORCID,Sajan Irish K.,Madhavan Manu^ORCID,Mathew Oommen K.

Publisher

Elsevier BV

Reference56 articles.

1. Understanding of a convolutional neural network;Albawi,2017

2. Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning;Alipanahi;Nat. Biotechnol.,2015

3. DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning;Angermueller;Genome Biol.,2017

4. On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation;Bach;PLOS ONE,2015

5. The dropout learning algorithm;Baldi;Artificial Intelligence,2014

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