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portada Machine Learning Methods for Multi-Omics Data Integration
Type
Physical Book
Publisher
Author
Year
2024
Pages
168
Format
Paperback
Dimensions
23.50 x 15.50 cm
ISBN13
9783031365041

Machine Learning Methods for Multi-Omics Data Integration

Abedalrhman Alkhateeb;Luis Rueda (Author) · Springer International Publishing AG · Paperback

Machine Learning Methods for Multi-Omics Data Integration - Abedalrhman Alkhateeb;Luis Rueda

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Synopsis "Machine Learning Methods for Multi-Omics Data Integration"

It covers different types of learning for supervised and unsupervised learning techniques, including standard classifiers, deep learning, tensor factorization, ensemble learning, and clustering, among others.

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