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Mass Spectrometry of Proteins

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Cover of 'Mass Spectrometry of Proteins'

Table of Contents

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    Book Overview
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    Chapter 1 Blended Cognition: The Robotic Challenge
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    Chapter 1 Data-Driven Neuroendocrine-PID Tuning Based on Safe Experimentation Dynamics for Control of TITO Coupled Tank System with Stochastic Input Delay
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    Chapter 1 Next Generation Proteomics for Clinical Biomarker Detection Using SWATH-MS
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    Chapter 1 Science Fiction Posing as Science Fact
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    Chapter 2 A Combined Chemical Derivatization/Mass Spectrometric Method for the Enhanced Detection and Relative Quantification of Protein Ubiquitination
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    Chapter 2 The Relativity of Wrong
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    Chapter 2 Neuro-Fuzzy Sampling: Safe and Fast Multi-query Randomized Path Planning for Mobile Robots
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    Chapter 2 Manipulative Abduction, External Semiotic Anchors, and Blended Cognition
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    Chapter 3 Practical Reasoning in the Deliberations of an Intelligent Autonomous Agent
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    Chapter 3 Assessment of Ubiquitin Chain Topology by Targeted Mass Spectrometry
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    Chapter 3 Hierarchical Attention Networks for Different Types of Documents with Smaller Size of Datasets
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    Chapter 3 The Art of Technobabble
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    Chapter 4 Quantitative Phosphoproteomic Using Titanium Dioxide Micro-Columns and Label-Free Quantitation
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    Chapter 4 Social Robot Intelligence and Network Consensus
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    Chapter 4 Blended Automation: The Language-Game of Psychoanalytic Automatism and Cybernetic Automata
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    Chapter 4 Spoofs in Science Journals
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    Chapter 5 Can Our Robots Rely on an Emotionally Charged Vision-for-Action? An Embodied Model for Neurorobotics
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    Chapter 5 Isotopic Labeling and Quantitative Proteomics of Acetylation on Histones and Beyond
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    Chapter 5 April Fool
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    Chapter 5 UDLR Convolutional Network for Adaptive Image Denoiser
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    Chapter 6 Modeling Psycho-Emotional States via Neurosimulation of Monoamine Neurotransmitters
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    Chapter 6 Making a Point
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    Chapter 6 Robust Feedback Controller Design Using Cuckoo Search Optimization to Maximize Stability Radius
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    Chapter 6 Quantitative Analysis of Protein S-Acylation Site Dynamics Using Site-Specific Acyl-Biotin Exchange (ssABE)
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    Chapter 7 Reducing Complexity? Cysteine Reduction and S-Alkylation in Proteomic Workflows: Practical Considerations
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    Chapter 7 Chaos-Based Reinforcement Learning When Introducing Refractoriness in Each Neuron
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    Chapter 7 Towards Conversation Envisioning for Cognitive Robots
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    Chapter 7 Thinking Outside the Box
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    Chapter 8 Detection of Unknown Chemical Adduct Modifications on Proteins: From Wet to Dry Laboratory
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    Chapter 8 Integration of Semantic and Episodic Memories for Task Intelligence
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    Chapter 8 The Blending of Human and Autonomous-Machine Cognition
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    Chapter 9 Heuristics of Numerical Choice in Economic Contexts
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    Chapter 9 Human Robot Social Interaction Framework Based on Emotional Episodic Memory
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    Chapter 9 Considerations for Identifying Endogenous Protein Complexes from Tissue via Immunoaffinity Purification and Quantitative Mass Spectrometry
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    Chapter 10 Metaproteomics of Freshwater Microbial Communities
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    Chapter 10 Convolutional Neural Network-Based Collaborative Filtering for Recommendation Systems
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    Chapter 11 A Pedestrian Dead Reckoning System with Error Correction by Landmark Recognition
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    Chapter 11 Peptide-to-Protein Summarization: An Important Step for Accurate Quantification in Label-Based Proteomics
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    Chapter 11 Toward a Logic of Everyday Reasoning
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    Chapter 12 Experimental Design in Quantitative Proteomics
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    Chapter 12 Effective Indoor Robot Localization by Stacked Bidirectional LSTM Using Beacon-Based Range Measurements
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    Chapter 13 Track Management for Distributed Multi-target Tracking in Sensor Network
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    Chapter 13 Practical Integration of Multi-Run iTRAQ Data
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    Chapter 14 Quantitative Proteomics Data in the Public Domain: Challenges and Opportunities
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    Chapter 14 Deregulating the Electricity Market for the Peninsula Malaysian Grid Using a System Dynamics Approach
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    Chapter 15 ArUcoRSV: Robot Localisation Using Artificial Marker
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    Chapter 15 Computational Proteomics with Jupyter and Python
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    Chapter 16 The Galaxy Platform for Reproducible Affinity Proteomic Mass Spectrometry Data Analysis
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    Chapter 16 Spike Encoding Modules Using Neuron Model in Neural Networks
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    Chapter 17 The Classification of EEG Signal Using Different Machine Learning Techniques for BCI Application
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    Chapter 18 The Identification of Oreochromis niloticus Feeding Behaviour Through the Integration of Photoelectric Sensor and Logistic Regression Classifier
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    Chapter 19 Motion Planning to Reduce the Thrust of Underwater Robot Using Null-Space Compliance
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    Chapter 20 Match Outcomes Prediction of Six Top English Premier League Clubs via Machine Learning Technique
Attention for Chapter 10: Metaproteomics of Freshwater Microbial Communities
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Chapter title
Metaproteomics of Freshwater Microbial Communities
Chapter number 10
Book title
Mass Spectrometry of Proteins
Published by
Humana Press, New York, NY, April 2019
DOI 10.1007/978-1-4939-9232-4_10
Pubmed ID
Book ISBNs
978-1-4939-9231-7, 978-1-4939-9232-4
Authors

David A. Russo, Narciso Couto, Andrew P. Beckerman, Jagroop Pandhal, Russo, David A., Couto, Narciso, Beckerman, Andrew P., Pandhal, Jagroop

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Student > Postgraduate 1 25%
Student > Doctoral Student 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Medicine and Dentistry 2 50%
Environmental Science 1 25%
Unspecified 1 25%