rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Bioinformatics and Biomedical Engineering
    sub title: 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part II
  name:
    name part: Rojas, Ignacio.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Valenzuela, Olga.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Rojas, Fernando.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Ortuño, Francisco.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXIX, 587 p. 313 illus., 255 illus. in color. online resource.
  abstract: The two-volume set LNBI 11465 and LNBI 11466 constitutes the proceedings of the 7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019, held in Granada, Spain, in May 2019. The total of 97 papers presented in the proceedings, was carefully reviewed and selected from 301 submissions. The papers are organized in topical sections as follows: Part I: High-throughput genomics: bioinformatics tools and medical applications; omics data acquisition, processing, and analysis; bioinformatics approaches for analyzing cancer sequencing data; next generation sequencing and sequence analysis; structural bioinformatics and function; telemedicine for smart homes and remote monitoring; clustering and analysis of biological sequences with optimization algorithms; and computational approaches for drug repurposing and personalized medicine. Part II: Bioinformatics for healthcare and diseases; computational genomics/proteomics; computational systems for modelling biological processes; biomedical engineering; biomedical image analysis; and biomedicine and e-health. .
  table of contents: Bioinformatics for healthcare and diseases -- Developing a DEVS-JAVA model to simulate and pre-test changes to emergency care delivery in a safe and efficient manner -- Concept Bag: A New Method for Computing Concept Similarity in Biomedical Data -- A reliable method to remove batch effects maintaining group differences in lymphoma methylation case study -- Predict breast tumor response to chemotherapy using a 3D deep learning architecture applied to DCE-MRI data -- Data Fusion for Improving Sleep Apnoea Detection from Single-lead ECG Derived Respiration -- Instrumented shoes for 3D GRF analysis and characterization of human gait -- Novel Four Stages Classification of Breast Cancer Using Infrared Thermal Imaging and a Deep Learning Model -- Comparison of numerical and laboratory experiment examining deformation of red blood cell -- Levenberg-Marquardt variants in chrominance-based skin tissue detection -- A mini-review of Biomedical Infrared Thermography (B-IRT) -- Mathematical Modeling and Docking of Medicinal Plants and Synthetic drugs to determine their effects on Abnormal Expression of Cholinesterase and Acetyl Cholinesterase Proteins in Alzheimer -- Definition of Organic Processes via Digital Monitoring Systems -- Detection of Pools of Bacteria with Public Health Importance in Wastewater Effluent from a Municipality in South Africa using Next Generation Sequencing and Metagenomics Analysis -- Computational genomics/proteomics -- Web-based application for accurately classifying cancer type from microarray gene expression data using a support vector machine (SVM) learning algorithm -- Associating Protein Domains with Biological Functions: A Tripartite Network Approach -- Interaction of ZIKV NS5 and STAT2 explored by Molecular Modeling, Docking, and Simulations Studies -- Entropy-based detection of genetic markers for bacteria genotyping -- Clustering of Klebsiella Strains Based on Variability in Sequencing Data -- Addition of pathway-based information to improve …
  note: edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Francisco Ortuño.
  subject:
    topic: Bioinformatics
  subject:
    topic: Machine learning
  subject:
    topic: Natural language processing (Computer science)
  subject:
    topic: Optical data processing
  subject:
    topic: Computers
  subject:
    topic: Mathematical logic
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Machine Learning
  subject:
    topic: Natural Language Processing (NLP)
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Information Systems and Communication Service
  subject:
    topic: Mathematical Logic and Formal Languages
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Bioinformatics ; 11466
  identifier: 9783030179359
  identifier: https://doi.org/10.1007/978-3-030-17935-9
  record info:
    record creation date: 190412
    record change date: 20191025102146.0
    record identifier: 978-3-030-17935-9