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Titlebook: Receptor-Receptor Interactions in the Central Nervous System; KJELL FUXE,Dasiel O. Borroto-Escuela Book 2018 Springer Science+Business Med

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书目名称Receptor-Receptor Interactions in the Central Nervous System
编辑KJELL FUXE,Dasiel O. Borroto-Escuela
视频video
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
丛书名称Neuromethods
图书封面Titlebook: Receptor-Receptor Interactions in the Central Nervous System;  KJELL FUXE,Dasiel O. Borroto-Escuela Book 2018 Springer Science+Business Med
描述.This volume covers methodologies, ranging from the molecular level to the network level, used to study receptor-receptor interactions in heteroreceptor complexes inside the central nervous system. The chapters in this book cover topics such as biochemical binding techniques; receptor autoradiography; superfused synaptosome techniques; RTK-GPCR interaction; fluorescence and bioluminiscence energy transfer methods, Co-IP cytometry-based FRET; and novel bioinformatic approaches to understand membrane heteroreceptor complexes and the global panorama of their receptor-receptor interactions. In .Neuromethods. series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory..Cutting-edge and thorough, .Receptor-Receptor Interactions in the Central Nervous System. is a valuable resource for any scientist or researcher interested in this field of study..
出版日期Book 2018
关键词GPCR; G protein; receptor signaling; neuropsychopharmacology; heteroreceptor complexes
版次1
doihttps://doi.org/10.1007/978-1-4939-8576-0
isbn_softcover978-1-4939-9331-4
isbn_ebook978-1-4939-8576-0Series ISSN 0893-2336 Series E-ISSN 1940-6045
issn_series 0893-2336
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2018
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Davide Lattanzi,David Savelli,Michael Di Palma,Stefano Sartini,Silvia Eusebi,Dasiel O. Borroto-Escuegle instance predictions with XAI.Includes best practices foUnderstand how to use Explainable AI (XAI) libraries and build trust in AI and machine learning models. This book utilizes a problem-solution approach to explaining machine learning models and their algorithms. .The book starts with model i
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Sergio Tanganelli,Tiziana Antonelli,Sarah Beggiato,Maria Cristina Tomasini,Kjell Fuxe,Dasiel O. Borr question answering, legal texts or news summarization, and headline generation systems. The explosion in the amount of text data from various sources in the context of the big data and 4.0 industrial revolution era demands innovative automatic text summarization techniques, formerly thought unattai
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