Traditional chinese medicine and diseases: an omics big-data mining perspective
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2022
|
| Edition: | 1st ed. 2022 |
| Series: | Translational Bioinformatics
18 |
| Subjects: | |
| Online Access: | DE-634 DE-1028 DE-523 DE-19 Volltext |
| Physical Description: | 1 Online-Ressource (IX, 139 Seiten) Illustrationen |
| ISBN: | 9789811947711 |
| ISSN: | 2213-2783 |
| DOI: | 10.1007/978-981-19-4771-1 |
Staff View
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| dewey-full | 615.5 |
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| illustrated | Illustrated |
| index_date | 2024-07-03T20:55:14Z |
| indexdate | 2024-12-13T09:02:11Z |
| institution | BVB |
| isbn | 9789811947711 |
| issn | 2213-2783 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033918207 |
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| physical | 1 Online-Ressource (IX, 139 Seiten) Illustrationen |
| psigel | ZDB-2-SBL ZDB-2-SBL_2022 |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer Nature Singapore |
| record_format | marc |
| 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 |