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[null,"1.","Record Nr.",null,"UNINA9910985666303321"]
[null,null,"Autore",null,"Edeh Onoriode"]
[null,null,"Titolo",null,"Applied Epigenetics for Mental Health Professionals"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C. : , : American Psychiatric Association Publishing, , 2023"]
[{"$nulls":4},"©2023"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (192 pages)"]
[null,null,"Disciplina",null,"616.89/042"]
[null,null,"Soggetti",null,"Mental Disorders - genetics"]
[{"$nulls":4},"Epigenesis, Genetic"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Cover -- Half Title -- Title -- Copyright -- Contents -- Contributors -- Preface -- Acknowledgments -- 1 Overview of Genetic and Epigenetic Mechanisms -- 2 Epigenetic Modulation in Major Depressive Disorder -- 3 Epigenetics in Neurodevelopmental and Neurodegenerative Disorders -- 4 Epigenetics of Childhood Trauma and Resilience -- 5 Epigenetics of Lifestyle and Aging -- Glossary -- Index -- Back Cover."]
[null,null,null,"Sommario/riassunto","Beginning with the major concepts that arise in current applications of epigenetics in psychiatry, the book goes on to examine how epigenetics has improved the understanding of mood disorders; neurodevelopmental and neurodegenerative disorders; trauma, toxic stress, and resilience; and health-promoting behaviors and aging."]
[null,"2.","Record Nr.",null,"UNINA9910886083403321"]
[null,null,"Autore",null,"Raza Khalid"]
[null,null,"Titolo",null,"Machine Learning in Single-Cell RNA-seq Data Analysis / / by Khalid Raza"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9789819767038"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (xviii, 88 pages) : illustrations"]
[null,null,"Collana",null,"SpringerBriefs in Computational Intelligence, , 2625-3712"]
[null,null,"Disciplina",null,"006.31"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Quantitative research"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Data Analysis and Big Data"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Chapter 1. Introduction to Single-Cell RNA-seq Data Analysis -- Chapter 2. Preprocessing and Quality Control -- Chapter 3. Dimensionality Reduction and Clustering -- Chapter 4. Differential Expression Analysis -- Chapter 5. Trajectory Inference and Cell Fate Prediction -- Chapter 6. Emerging Topics and Future Directions."]
[null,null,null,"Sommario/riassunto","This book provides a concise guide tailored for researchers, bioinformaticians, and enthusiasts eager to unravel the mysteries hidden within single-cell RNA sequencing (scRNA-seq) data using cutting-edge machine learning techniques. The advent of scRNA-seq technology has revolutionized our understanding of cellular diversity and function, offering unprecedented insights into the intricate tapestry of gene expression at the single-cell level. However, the deluge of data generated by these experiments presents a formidable challenge, demanding advanced analytical tools, methodologies, and skills for meaningful interpretation. This book bridges the gap between traditional bioinformatics and the evolving landscape of machine learning. Authored by seasoned experts at the intersection of genomics and artificial intelligence, this book serves as a roadmap for leveraging machine learning algorithms to extract meaningful patterns and uncover hidden biological insights within scRNA-seq datasets. ."]
[null,"3.","Record Nr.",null,"UNINA9910743259603321"]
[null,null,"Autore",null,"Tang Ze"]
[null,null,"Titolo",null,"Impulsive Synchronization of Complex Dynamical Networks : Modeling, Control and Simulations / / by Ze Tang, Dong Ding, Yan Wang, Zhicheng Ji, Ju H. Park"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"981-16-5382-8"]
[{"$nulls":4},"981-16-5383-6"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (191 pages)"]
[null,null,"Disciplina",null,"004.6"]
[null,null,"Soggetti",null,"Dynamics"]
[{"$nulls":4},"Nonlinear theories"]
[{"$nulls":4},"System theory"]
[{"$nulls":4},"Automatic control"]
[{"$nulls":4},"Robotics"]
[{"$nulls":4},"Automation"]
[{"$nulls":4},"Applied Dynamical Systems"]
[{"$nulls":4},"Complex Systems"]
[{"$nulls":4},"Dynamical Systems"]
[{"$nulls":4},"Control, Robotics, Automation"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Parameters Variation-Based Impulsive Synchronization on Derivative Coupled Complex Networks -- Synchronization on Clustered Complex Networks With Proportional Delay: Impulsive Effects Method -- Impulsive Synchronization of Derivative Coupled Complex Networks with Cluster-Tree Topology -- Adaptively Impulsive Synchronize the Derivative Coupled Complex Networks With Proportional Delay -- Distributed Impulsive Quasi-Synchronization of Complex Networks With Proportional Delay -- Impulsive Effects on Quasi-Synchronization of Complex Networks with Parameter Mismatches and Time-Varying Delay -- Impulsive Effects Based Distributed Synchronization of Heterogeneous Coupled Complex Networks -- Impulsive Adaptive Pinning Synchronization of Complex Networks with Cluster-Tree Topology via Parameters Variation Protocols -- Cluster Synchronization of Non-linearly Coupled Complex Networks: Delayed Impulsive "]
[{"$nulls":4},"Adaptive Control Protocols -- Bibliography."]
[null,null,null,"Sommario/riassunto","This book is mainly focused on the global impulsive synchronization of complex dynamical networks with different types of couplings, such as general state coupling, nonlinear state coupling, time-varying delay coupling, derivative state coupling, proportional delay coupling and distributed delay coupling. Studies on impulsive synchronization of complex dynamical networks have attracted engineers and scientists from various disciplines, such as electrical engineering, mechanical engineering, mathematics, network science, system engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of network synchronization and the significant influence of impulsive control in the design and optimization of complex networks. The primary audience for the book would be the scholars and graduate students whose research topics including the network science, control theory, applied mathematics, system science and so on."]