Traditional chinese medicine and diseases: an omics big-data mining perspective
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
2022
|
| Ausgabe: | 1st ed. 2022 |
| Schriftenreihe: | Translational Bioinformatics
18 |
| Schlagworte: | |
| Online-Zugang: | DE-634 DE-1028 DE-523 DE-19 Volltext |
| Beschreibung: | 1 Online-Ressource (IX, 139 Seiten) Illustrationen |
| ISBN: | 9789811947711 |
| ISSN: | 2213-2783 |
| DOI: | 10.1007/978-981-19-4771-1 |
Internformat
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Datensatz im Suchindex
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| dewey-full | 615.5 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 615 - Pharmacology and therapeutics |
| dewey-raw | 615.5 |
| dewey-search | 615.5 |
| dewey-sort | 3615.5 |
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| discipline | Biologie Medizin |
| discipline_str_mv | Biologie Medizin |
| doi_str_mv | 10.1007/978-981-19-4771-1 |
| edition | 1st ed. 2022 |
| format | Electronic eBook |
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| indexdate | 2024-12-13T09:02:11Z |
| institution | BVB |
| isbn | 9789811947711 |
| issn | 2213-2783 |
| language | English |
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| publishDate | 2022 |
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| publisher | Springer Nature Singapore |
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| series2 | Translational Bioinformatics |
| spelling | Traditional chinese medicine and diseases an omics big-data mining perspective Singapore Springer Nature Singapore 2022 1 Online-Ressource (IX, 139 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Translational Bioinformatics 18 2213-2783 Complementary and Alternative Medicine Bioinformatics Pharmacy Data Analysis and Big Data Alternative medicine Quantitative research Ning, Kang edt Erscheint auch als Druck-Ausgabe 978-981-1947-70-4 Erscheint auch als Druck-Ausgabe 978-981-1947-72-8 Erscheint auch als Druck-Ausgabe 978-981-1947-73-5 https://doi.org/10.1007/978-981-19-4771-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Traditional chinese medicine and diseases an omics big-data mining perspective Complementary and Alternative Medicine Bioinformatics Pharmacy Data Analysis and Big Data Alternative medicine Quantitative research |
| title | Traditional chinese medicine and diseases an omics big-data mining perspective |
| title_auth | Traditional chinese medicine and diseases an omics big-data mining perspective |
| title_exact_search | Traditional chinese medicine and diseases an omics big-data mining perspective |
| title_exact_search_txtP | Traditional Chinese Medicine and Diseases An Omics Big-data Mining Perspective |
| title_full | Traditional chinese medicine and diseases an omics big-data mining perspective |
| title_fullStr | Traditional chinese medicine and diseases an omics big-data mining perspective |
| title_full_unstemmed | Traditional chinese medicine and diseases an omics big-data mining perspective |
| title_short | Traditional chinese medicine and diseases |
| title_sort | traditional chinese medicine and diseases an omics big data mining perspective |
| title_sub | an omics big-data mining perspective |
| topic | Complementary and Alternative Medicine Bioinformatics Pharmacy Data Analysis and Big Data Alternative medicine Quantitative research |
| topic_facet | Complementary and Alternative Medicine Bioinformatics Pharmacy Data Analysis and Big Data Alternative medicine Quantitative research |
| url | https://doi.org/10.1007/978-981-19-4771-1 |
| work_keys_str_mv | AT ningkang traditionalchinesemedicineanddiseasesanomicsbigdataminingperspective |