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1. 
Cover image for Machine Learning Methods for Multi-Omics Data Integration
Machine Learning Methods for Multi-Omics Data Integration
Author 
Alkhateeb, Abedalrhman. editor. (orcid)0000-0002-1751-7570 Rueda, Luis. editor. (orcid)0000-0001-7988-2058 SpringerLink (Online service)
Preferred Shelf Number 
ONLINE
Electronic Access 
https://doi.org/10.1007/978-3-031-36502-7
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2. 
Cover image for Data analytics in bioinformatics : a machine learning perspective
Data analytics in bioinformatics : a machine learning perspective
Author 
Satpathy, Rabinarayan, editor. Choudhury, Tanupriya, editor. Satpathy, Suneeta, editor. Mohanty, Sachi Nandan, editor.
Preferred Shelf Number 
QH324.25 .D38 2021
Electronic Access 
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119785620
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3. 
Cover image for Advances in Computational Intelligence 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part II
Advances in Computational Intelligence 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part II
Author 
Rojas, Ignacio. editor. Joya, Gonzalo. editor. Catala, Andreu. editor. SpringerLink (Online service)
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ONLINE
Electronic Access 
https://doi.org/10.1007/978-3-319-59147-6
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4. 
Cover image for Advances in Computational Intelligence 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part I
Advances in Computational Intelligence 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part I
Author 
Rojas, Ignacio. editor. Joya, Gonzalo. editor. Catala, Andreu. editor. SpringerLink (Online service)
Preferred Shelf Number 
ONLINE
Electronic Access 
https://doi.org/10.1007/978-3-319-59153-7
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5. 
Cover image for Machine Learning for Microbial Phenotype Prediction
Machine Learning for Microbial Phenotype Prediction
Author 
Feldbauer, Roman. author. SpringerLink (Online service)
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ONLINE
Electronic Access 
https://doi.org/10.1007/978-3-658-14319-0
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