Machine Learning Methods for Multi-Omics Data Integration - - Books - Springer International Publishing AG - 9783031365041 - November 14, 2024
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Machine Learning Methods for Multi-Omics Data Integration

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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.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released November 14, 2024
ISBN13 9783031365041
Publishers Springer International Publishing AG
Pages 168
Dimensions 150 × 220 × 10 mm   ·   277 g
Language German  
Editor Alkhateeb, Abedalrhman
Editor Rueda, Luis

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