Probing the characteristics and biofunctional effects of disease-affected cells and drug response via machine learning applications-Reference-Cited by-同舟云学术

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Probing the characteristics and biofunctional effects of disease-affected cells and drug response via machine learning applications

Published:2020-07-07 Issue:7 Volume:40 Page:951-977
ISSN:0738-8551
Container-title:Critical Reviews in Biotechnology
language:en
Short-container-title:Critical Reviews in Biotechnology

Author:

Mudali Deborah¹,Jeevanandam Jaison²^ORCID,Danquah Michael K.³^ORCID

Affiliation:

1. Department of Computer Science, University of Tennessee, Chattanooga, TN, USA

2. Department of Chemical Engineering, Faculty of Engineering and Science, Curtin University, Miri, Malaysia

3. Chemical Engineering Department, University of Tennessee, Chattanooga, TN, USA

Publisher

Informa UK Limited

Subject

Applied Microbiology and Biotechnology,General Medicine,Biotechnology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07388551.2020.1789062

Reference174 articles.

1. Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

2. In Silico Identification of Novel Inhibitors

3. Classification of red blood cell shapes in flow using outlier tolerant machine learning

4. A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks

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