Systems biology and machine learning methods in reproductive health:
Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive health. This book assembles the expertise of lea...
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| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2025
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| Edition: | First edition |
| Series: | Computational Biology Series
A Chapman & Hall book |
| Subjects: | |
| Summary: | Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive health. This book assembles the expertise of leading scientists and clinicians to present a compilation of cutting-edge techniques and case studies utilizing computational methods to elucidate intricate biological systems, elucidate reproductive pathways, and address critical issues in the fields of fertility, pregnancy, and reproductive disorders. Bringing science and data science together, this groundbreaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools |
| Physical Description: | x, 186 Seiten Illustrationen 453 gr |
| ISBN: | 9781032755519 9781032783703 |
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| id | DE-604.BV050150321 |
| illustrated | Illustrated |
| indexdate | 2025-03-31T18:09:33Z |
| institution | BVB |
| isbn | 9781032755519 9781032783703 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035486652 |
| oclc_num | 1510749002 |
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| owner | DE-29T |
| owner_facet | DE-29T |
| physical | x, 186 Seiten Illustrationen 453 gr |
| publishDate | 2025 |
| publishDateSearch | 2025 |
| publishDateSort | 2025 |
| publisher | CRC Press, Taylor & Francis Group |
| record_format | marc |
| series2 | Computational Biology Series A Chapman & Hall book |
| spelling | Systems biology and machine learning methods in reproductive health edited by Abhishek Sengupta, Priyanka Narad, Dinesh Gupta, and Deepak Modi First edition Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2025 x, 186 Seiten Illustrationen 453 gr txt rdacontent n rdamedia nc rdacarrier Computational Biology Series A Chapman & Hall book Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive health. This book assembles the expertise of leading scientists and clinicians to present a compilation of cutting-edge techniques and case studies utilizing computational methods to elucidate intricate biological systems, elucidate reproductive pathways, and address critical issues in the fields of fertility, pregnancy, and reproductive disorders. Bringing science and data science together, this groundbreaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools bicssc / Automatic control engineering bicssc / Birth control, contraception, family planning bicssc / Systems analysis & design bicssc / Artificial intelligence bicssc / Reproductive medicine bisacsh / MEDICAL / Reproductive Medicine & Technology bisacsh / SCIENCE / Life Sciences / Genetics & Genomics bisacsh / SCIENCE / Chemistry / Computational & Molecular Modeling bisacsh / SCIENCE / Life Sciences / Molecular Biology bisacsh / COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition bisacsh / COMPUTERS / Data Science / Neural Networks bisacsh / SCIENCE / Life Sciences / Biochemistry bisacsh / SCIENCE / Life Sciences / Biophysics Sengupta, Abhishek edt Narad, Priyanka edt Gupta, Dinesh edt Modi, Deepak edt Erscheint auch als Online-Ausgabe 978-1-003-48754-8 |
| spellingShingle | Sengupta, Abhishek Systems biology and machine learning methods in reproductive health bicssc / Automatic control engineering bicssc / Birth control, contraception, family planning bicssc / Systems analysis & design bicssc / Artificial intelligence bicssc / Reproductive medicine bisacsh / MEDICAL / Reproductive Medicine & Technology bisacsh / SCIENCE / Life Sciences / Genetics & Genomics bisacsh / SCIENCE / Chemistry / Computational & Molecular Modeling bisacsh / SCIENCE / Life Sciences / Molecular Biology bisacsh / COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition bisacsh / COMPUTERS / Data Science / Neural Networks bisacsh / SCIENCE / Life Sciences / Biochemistry bisacsh / SCIENCE / Life Sciences / Biophysics |
| title | Systems biology and machine learning methods in reproductive health |
| title_auth | Systems biology and machine learning methods in reproductive health |
| title_exact_search | Systems biology and machine learning methods in reproductive health |
| title_full | Systems biology and machine learning methods in reproductive health edited by Abhishek Sengupta, Priyanka Narad, Dinesh Gupta, and Deepak Modi |
| title_fullStr | Systems biology and machine learning methods in reproductive health edited by Abhishek Sengupta, Priyanka Narad, Dinesh Gupta, and Deepak Modi |
| title_full_unstemmed | Systems biology and machine learning methods in reproductive health edited by Abhishek Sengupta, Priyanka Narad, Dinesh Gupta, and Deepak Modi |
| title_short | Systems biology and machine learning methods in reproductive health |
| title_sort | systems biology and machine learning methods in reproductive health |
| topic | bicssc / Automatic control engineering bicssc / Birth control, contraception, family planning bicssc / Systems analysis & design bicssc / Artificial intelligence bicssc / Reproductive medicine bisacsh / MEDICAL / Reproductive Medicine & Technology bisacsh / SCIENCE / Life Sciences / Genetics & Genomics bisacsh / SCIENCE / Chemistry / Computational & Molecular Modeling bisacsh / SCIENCE / Life Sciences / Molecular Biology bisacsh / COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition bisacsh / COMPUTERS / Data Science / Neural Networks bisacsh / SCIENCE / Life Sciences / Biochemistry bisacsh / SCIENCE / Life Sciences / Biophysics |
| topic_facet | bicssc / Automatic control engineering bicssc / Birth control, contraception, family planning bicssc / Systems analysis & design bicssc / Artificial intelligence bicssc / Reproductive medicine bisacsh / MEDICAL / Reproductive Medicine & Technology bisacsh / SCIENCE / Life Sciences / Genetics & Genomics bisacsh / SCIENCE / Chemistry / Computational & Molecular Modeling bisacsh / SCIENCE / Life Sciences / Molecular Biology bisacsh / COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition bisacsh / COMPUTERS / Data Science / Neural Networks bisacsh / SCIENCE / Life Sciences / Biochemistry bisacsh / SCIENCE / Life Sciences / Biophysics |
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