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: Artificial intelligence in bioinformatics and chemoinformatics
  name:
    name part: Pathak, Yashwant
    role:
      role term: editor.
  name:
    name part: Saikia, Surovi
    role:
      role term: editor.
  name:
    name part: Pathak, Sarvadaman
    role:
      role term: editor.
  name:
    name part: Patel, Jayvadan K.
    role:
      role term: editor.
  name:
    name part: Prajapati, Bhupendra
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: flu
    date issued: 2024
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: "The authors aim to shed light on the practicality of using machine learning in finding complex chemoinformatics and bioinformatics applications as well as identifiying AI in biological and chemical data points. The chapters are designed in such a way that they highlight the important role of AI in chemistry and bioinformatics particularly for the classification of diseases, selection of features and compounds, dimensionality reduction and more. In addition, they assist in the organization and optimal use of data points generated from experiments performed using AI techniques. This volume discusses the development of automated tools and techniques to aid in research plans."--
  table of contents: Bridging Bioinformatics and Chemoinformatics Approaches in Public Databases -- An Introduction to Basic and Advanced Chemoinformatics Computational Tools -- An Introduction to Basic and Advanced Bioinformatics Computational Tools -- Computational Methods in Cancer, Genome Mapping and Stem Cell Research -- Using Chemistry to Understand Biology -- Chemical Biology-Based Toolset for Artificial Intelligence Usage In Drug Design -- Machine Learning and Data Mining: Uses and Challenges in Bioinformatics -- Application of Deep Learning In Chemistry and Biology -- Text Mining in Chemistry for Organizing Chemistry Data -- CNN Used in Virtual Screening -- Machine Learning in Improving Force Fields of Molecular Dynamics -- Defining the Role of Chemical and Biological Data and Applying Algorithms -- Optimization and Quantification of Uncertainty in Machine Learning.
  note: edited by Yashwant V. Pathak, Surovi Saikia, Sarvadaman Pathak, Jayvadan Patel, Bhupendra Prajapati.
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial intelligence
    topic: Biological applications
  subject:
    topic: Cheminformatics
  subject:
    topic: Bioinformatics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computational Biology
  subject:
    topic: Cheminformatics
  classification: QU 26.5 A7914 2024eb
  identifier: 9781000952865
  identifier: 100095286X
  identifier: 9781003353768
  identifier: 1003353762
  identifier: 9781000952759
  identifier: 1000952754
  identifier: 9781032396576
  identifier: 9781032405834
  identifier: 2023011980
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 230608
    record change date: 20240724142046.5
    record identifier: in00004798006
    language of cataloging:
      language term: eng