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Deep convolutional neural networks for predicting leukemia-related transcription factor binding sites from DNA sequence data

  • Published:2020-04 Issue: Volume:199 Page:103976
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

He Jian,Pu Xuemei,Li Menglong,Li Chuan,Guo Yanzhi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference56 articles.

1. Deep learning for computational biology;Angermueller;Mol. Syst. Biol.,2016

2. Deep learning in bioinformatics;Seonwoo;Briefings Bioinf.,2017

3. Deep learning for healthcare: review, opportunities and challenges;Miotto;Briefings Bioinf.,2017

4. DeepChrome: deep-learning for predicting gene expression from histone modifications;Singh;Bioinformatics,2016

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

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1. A Novel Approach for Leukemia Classification using Multi-Neural Networks;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17

2. Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images;Healthcare;2022-09-20

3. A CNN Model for Early Leukemia Diagnosis;International Journal of Organizational and Collective Intelligence;2022-07-21

4. An attention-based hybrid deep neural networks for accurate identification of transcription factor binding sites;Neural Computing and Applications;2022-06-29

5. Identification of Disease-specific Single Amino Acid Polymorphisms Using a Simple Random Forest at Protein-level;Current Bioinformatics;2021-12-02
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