TITLE

Springer Series in Bio-/Neuroinformatics

ISSN

2193-9357

ISSN ELECTRONIC

2193-9349

CATEGORY

N/A

DESCRIPTION

Springer Series in Bio-/Neuroinformatics publishes content on fundamental principles as well as state-of-art theories, methods and applications in the rapidly evolving fields of bioinformatics and neuroinformatics. The series is unique in that it integrates three interdependent disciplines, namely information science, bioinformatics and neuroinformatics. The series covers general informatics methods and techniques, like data mining, database management systems, machine learning, artificial neural networks, evolutionary computation, chaos theory, quantum computation, statistical methods, and image and signal processing, as well as their applications to different areas of research, including big data, functional analysis of the brain, computational systems biology, computational systems neuroscience, health informatics, personalized medicine, rehabilitation medicine, industrial biotechnology, and many more. The series publishes monographs, contributed volumes and conference proceedings, as well as advanced textbooks.

Related objects

BOOK (manifestation)

  • Book: 978-3-319-09903-3 (eBook)

  • How to use: Click on a object to move its position. Double click to open its homepage. Right click to preview its contents.

    Download the RDF metadata as:   json-ld nt turtle xml License info


    12 TRIPLES      12 PREDICATES      13 URIs      9 LITERALS

    Subject Predicate Object
    1 book-series:78d28598b8c4c99259cef7f005d08c37 sg:ddsId 10088
    2 sg:description Springer Series in Bio-/Neuroinformatics publishes content on fundamental principles as well as state-of-art theories, methods and applications in the rapidly evolving fields of bioinformatics and neuroinformatics. The series is unique in that it integrates three interdependent disciplines, namely information science, bioinformatics and neuroinformatics. The series covers general informatics methods and techniques, like data mining, database management systems, machine learning, artificial neural networks, evolutionary computation, chaos theory, quantum computation, statistical methods, and image and signal processing, as well as their applications to different areas of research, including big data, functional analysis of the brain, computational systems biology, computational systems neuroscience, health informatics, personalized medicine, rehabilitation medicine, industrial biotechnology, and many more. The series publishes monographs, contributed volumes and conference proceedings, as well as advanced textbooks.
    3 sg:issnElectronic 2193-9349
    4 sg:issnPrint 2193-9357
    5 sg:language En
    6 sg:license http://scigraph.springernature.com/explorer/license/
    7 sg:scigraphId 78d28598b8c4c99259cef7f005d08c37
    8 sg:shortTitle Springer Ser.Bio-/Neuroinformatics
    9 sg:title Springer Series in Bio-/Neuroinformatics
    10 sg:webpage https://link.springer.com/10088
    11 rdf:type sg:BookSeries
    12 rdfs:label BookSeries: Springer Series in Bio-/Neuroinformatics
    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular JSON format for linked data.

    curl -H 'Accept: application/ld+json' 'http://scigraph.springernature.com/things/book-series/78d28598b8c4c99259cef7f005d08c37'

    N-Triples is a line-based linked data format ideal for batch operations .

    curl -H 'Accept: application/n-triples' 'http://scigraph.springernature.com/things/book-series/78d28598b8c4c99259cef7f005d08c37'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'http://scigraph.springernature.com/things/book-series/78d28598b8c4c99259cef7f005d08c37'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'http://scigraph.springernature.com/things/book-series/78d28598b8c4c99259cef7f005d08c37'






    Preview window. Press ESC to close (or click here)


    ...