End-to-End Differentiable Architecture: Innovating AI for Protein-Protein Interaction Networks - Brossura
Sinossi
Discover the forefront of artificial intelligence innovation in biological sciences with this comprehensive exploration of end-to-end differentiable architectures applied to protein-protein interaction (PPI) networks. This authoritative volume offers an in-depth examination of how advanced AI models can revolutionize our understanding of complex biological systems.
Spanning 33 meticulously crafted chapters, the book delves into a rich array of topics, including the utilization of graph neural networks and transformers for sophisticated PPI modeling. It illuminates the power of attention mechanisms and end-to-end protein embedding techniques in capturing the nuances of protein interactions. Readers will gain valuable insights into integrating multi-modal data, enhancing models with deep generative approaches, and employing hypergraph neural networks to represent complex biological interactions.
Addressing both theoretical and practical aspects, the text explores reinforcement learning applications, capsule networks for hierarchical feature capture, and meta-learning strategies that enable models to adapt swiftly to new data. It doesn't shy away from the challenges of the field, tackling issues such as data imbalance, scalability, and uncertainty estimation with Bayesian neural networks. The integration of structural biology, energy-based models, and contrastive learning further enriches the discourse, providing a holistic view of the current state and future direction of AI in PPI research.
Ideal for researchers, data scientists, and professionals in bioinformatics and computational biology, this book serves as an indispensable resource for those aiming to advance their expertise. It provides practical guidance on optimization techniques, loss function engineering, and active learning strategies, all while emphasizing the importance of explainable AI for transparency in scientific findings. With its blend of innovative concepts and detailed methodologies, the book paves the way for groundbreaking discoveries and applications in the analysis of protein-protein interaction networks.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per End-to-End Differentiable Architecture: Innovating...
Foto dell'editore
End-to-End Differentiable Architecture (Paperback)
Print on DemandDa: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Discover the forefront of artificial intelligence innovation in biological sciences with this comprehensive exploration of end-to-end differentiable architectures applied to protein-protein interaction (PPI) networks. This authoritative volume offers an in-depth examination of how advanced AI models can revolutionize our understanding of complex biological systems.Spanning 33 meticulously crafted chapters, the book delves into a rich array of topics, including the utilization of graph neural networks and transformers for sophisticated PPI modeling. It illuminates the power of attention mechanisms and end-to-end protein embedding techniques in capturing the nuances of protein interactions. Readers will gain valuable insights into integrating multi-modal data, enhancing models with deep generative approaches, and employing hypergraph neural networks to represent complex biological interactions.Addressing both theoretical and practical aspects, the text explores reinforcement learning applications, capsule networks for hierarchical feature capture, and meta-learning strategies that enable models to adapt swiftly to new data. It doesn't shy away from the challenges of the field, tackling issues such as data imbalance, scalability, and uncertainty estimation with Bayesian neural networks. The integration of structural biology, energy-based models, and contrastive learning further enriches the discourse, providing a holistic view of the current state and future direction of AI in PPI research.Ideal for researchers, data scientists, and professionals in bioinformatics and computational biology, this book serves as an indispensable resource for those aiming to advance their expertise. It provides practical guidance on optimization techniques, loss function engineering, and active learning strategies, all while emphasizing the importance of explainable AI for transparency in scientific findings. With its blend of innovative concepts and detailed methodologies, the book paves the way for groundbreaking discoveries and applications in the analysis of protein-protein interaction networks. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798346920656
Compra nuovo
EUR 40,45
Spese di spedizione:
GRATIS
In U.S.A.
Quantità: 1 disponibili
Foto dell'editore
End-to-End Differentiable Architecture
Print on DemandDa: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798346920656
Compra nuovo
EUR 40,46
Spese di spedizione:
GRATIS
In U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
End-to-End Differentiable Architecture
Print on DemandDa: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798346920656
Compra nuovo
EUR 38,12
Spese di spedizione:
EUR 4,75
Da: Regno Unito a: U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
End-to-End Differentiable Architecture: Innovating AI for Protein-Protein Interaction Networks (Mastering Machine Learning)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. In. Codice articolo ria9798346920656_new
Compra nuovo
EUR 38,39
Spese di spedizione:
EUR 13,67
Da: Regno Unito a: U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
End-to-End Differentiable Architecture (Paperback)
Print on DemandDa: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Discover the forefront of artificial intelligence innovation in biological sciences with this comprehensive exploration of end-to-end differentiable architectures applied to protein-protein interaction (PPI) networks. This authoritative volume offers an in-depth examination of how advanced AI models can revolutionize our understanding of complex biological systems.Spanning 33 meticulously crafted chapters, the book delves into a rich array of topics, including the utilization of graph neural networks and transformers for sophisticated PPI modeling. It illuminates the power of attention mechanisms and end-to-end protein embedding techniques in capturing the nuances of protein interactions. Readers will gain valuable insights into integrating multi-modal data, enhancing models with deep generative approaches, and employing hypergraph neural networks to represent complex biological interactions.Addressing both theoretical and practical aspects, the text explores reinforcement learning applications, capsule networks for hierarchical feature capture, and meta-learning strategies that enable models to adapt swiftly to new data. It doesn't shy away from the challenges of the field, tackling issues such as data imbalance, scalability, and uncertainty estimation with Bayesian neural networks. The integration of structural biology, energy-based models, and contrastive learning further enriches the discourse, providing a holistic view of the current state and future direction of AI in PPI research.Ideal for researchers, data scientists, and professionals in bioinformatics and computational biology, this book serves as an indispensable resource for those aiming to advance their expertise. It provides practical guidance on optimization techniques, loss function engineering, and active learning strategies, all while emphasizing the importance of explainable AI for transparency in scientific findings. With its blend of innovative concepts and detailed methodologies, the book paves the way for groundbreaking discoveries and applications in the analysis of protein-protein interaction networks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798346920656
Compra nuovo
EUR 43,47
Spese di spedizione:
EUR 42,21
Da: Regno Unito a: U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Flux, J: End-to-End Differentiable Architecture
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware - Discover the forefront of artificial intelligence innovation in biological sciences with this comprehensive exploration of end-to-end differentiable architectures applied to protein-protein interaction (PPI) networks. This authoritative volume offers an in-depth examination of how advanced AI models can revolutionize our understanding of complex biological systems. Codice articolo 9798346920656
Compra nuovo
EUR 54,00
Spese di spedizione:
EUR 61,50
Da: Germania a: U.S.A.
Quantità: 2 disponibili