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Prions and Diseases
  • Language: en
  • Pages: 773

Prions and Diseases

Transmissible spongiform encephalopathies (TSE), known as prion diseases, have been recognized for nearly 300 years in animals and almost 100 years in humans. Modern studies, including the protein-misfolding cyclic amplification (PMCA), have greatly advanced our understanding of the pathogenesis of prion diseases and facilitated the identification of new prion diseases in animals and humans. In the second edition of Prions and Diseases, more than 60 leading researchers and clinicians worldwide provide an up-to-date discussion of these unique infectious pathogens and their associated diseases. The book provides up-to-date knowledge about the etiology, pathogenesis, classification, histopathological, and clinical aspects of the full range of animal and human prion diseases. As a result, the book contains by far the most authoritative views about the past, present, and future of prions and prion diseases. The new second edition covers such important emerging topics such as inherited human prion disease, stem-cell models in prion research, human prion disease surveillance, and gene therapy strategies.

Machine Learning Techniques on Gene Function Prediction Volume II
  • Language: en
  • Pages: 264
Machine learning for biological sequence analysis
  • Language: en
  • Pages: 150

Machine learning for biological sequence analysis

None

Artificial Intelligence for Medical Image Analysis of NeuroImaging Data
  • Language: en
  • Pages: 224
Molecular Computing and Bioinformatics
  • Language: en
  • Pages: 390

Molecular Computing and Bioinformatics

  • Type: Book
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  • Published: 2019-07-11
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  • Publisher: MDPI

This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis.

Machine Learning Techniques on Gene Function Prediction
  • Language: en
  • Pages: 485
Python in Neuroscience
  • Language: en
  • Pages: 275

Python in Neuroscience

Python is rapidly becoming the de facto standard language for systems integration. Python has a large user and developer-base external to theneuroscience community, and a vast module library that facilitates rapid and maintainable development of complex and intricate systems. In this Research Topic, we highlight recent efforts to develop Python modules for the domain of neuroscience software and neuroinformatics: - simulators and simulator interfaces - data collection and analysis - sharing, re-use, storage and databasing of models and data - stimulus generation - parameter search and optimization - visualization - VLSI hardware interfacing. Moreover, we seek to provide a representative overview of existing mature Python modules for neuroscience and neuroinformatics, to demonstrate a critical mass and show that Python is an appropriate choice of interpreter interface for future neuroscience software development.

Advanced Intelligent Computing in Bioinformatics
  • Language: en
  • Pages: 505

Advanced Intelligent Computing in Bioinformatics

None

Intelligent Computing Theories and Application
  • Language: en
  • Pages: 879

Intelligent Computing Theories and Application

  • Type: Book
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  • Published: 2018-08-08
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  • Publisher: Springer

This two-volume set LNCS 10954 and LNCS 10955 constitutes - in conjunction with the volume LNAI 10956 - the refereed proceedings of the 14th International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018. The 275 full papers and 72 short papers of the three proceedings volumes were carefully reviewed and selected from 632 submissions. The papers are organized in topical sections such as Neural Networks.- Pattern Recognition.- Image Processing.- Intelligent Computing in Robotics.- Intelligent Control and Automation.- Intelligent Data Analysis and Prediction.- Fuzzy Theory and Algorithms.- Supervised Learning.- Unsupervised Learning.- Kernel Methods and Supp...