"Computational Intelligence Methods for Bioinformatics and Biostatistics" - Information and Links:

Computational Intelligence Methods for Bioinformatics and Biostatistics - Info and Reading Options

16th International Meeting, CIBB 2019, Bergamo, Italy, September 4-6, 2019, Revised Selected Papers

"Computational Intelligence Methods for Bioinformatics and Biostatistics" was published by Springer International Publishing AG in 2020 - Cham, it has 1 pages and the language of the book is English.


“Computational Intelligence Methods for Bioinformatics and Biostatistics” Metadata:

  • Title: ➤  Computational Intelligence Methods for Bioinformatics and Biostatistics
  • Authors:
  • Language: English
  • Number of Pages: 1
  • Publisher: ➤  Springer International Publishing AG
  • Publish Date:
  • Publish Location: Cham

Edition Specifications:

  • Weight: 0.557
  • Pagination: xiv, 350

Edition Identifiers:

AI-generated Review of “Computational Intelligence Methods for Bioinformatics and Biostatistics”:


"Computational Intelligence Methods for Bioinformatics and Biostatistics" Description:

Open Data:

Intro -- Preface -- Organization -- Contents -- Computational Intelligence Methods for Bioinformatics and Biostatistics -- A Smartphone-Based Clinical Decision Support System for Tremor Assessment -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Data Collection -- 3.2 Data Preparation -- 3.3 Feature Extraction and Selection -- 4 Results -- 5 Concluding Remarks and Discussion -- References -- cyTRON and cyTRON/JS: Two Cytoscape-Based Applications for the Inference of Cancer Evolution Models -- 1 Scientific Background -- 2 Materials and Methods -- 3 Case Study -- 4 Conclusion and Future Work -- References -- Effective Use of Evolutionary Computation to Parameterise an Epidemiological Model -- 1 Scientific Background -- 2 Materials and Methods -- 2.1 Tools -- 2.2 Model -- 2.3 Optimisation -- 3 Results -- 3.1 Parameter Optimisation -- 3.2 Clustering the Optimal Solutions -- 3.3 Model Predictions -- 4 Conclusion -- References -- Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Queries on Domain-Specific Ontologies -- 1 Scientific Background -- 2 Materials and Methods -- 2.1 Data Overview -- 2.2 Taxonomy-Based Relaxed Queries -- 3 Results -- 3.1 Upward Extension -- 3.2 Downward Extension -- 3.3 Use Case Scenario -- 4 Conclusion -- References -- GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis -- 1 Introduction -- 2 Automated Alzheimer's Disease Diagnosis -- 3 Materials and Methods -- 3.1 OASIS-3 Dataset -- 3.2 GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction -- 3.3 Unsupervised Alzheimer's Disease Diagnosis -- 4 Results -- 4.1 Reconstructed Brain MRI Slices -- 4.2 Unsupervised AD Diagnosis Results -- 5 Conclusions and Future Work -- References -- Improving the Fusion of Outbreak Detection Methods with Supervised Learning

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