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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton
Taylor & Francis
2024
|
| Schriftenreihe: | Chapman & Hall/CRC Computational Biology Series
|
| Schlagworte: | |
| Zusammenfassung: | 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 |
| Beschreibung: | 1. Introduction to Systems Biology and Machine Learning ; 2. Data Sources and Data Integration in Reproductive Health ; 3. Genomics and Transcriptomics in Reproductive Health ; 4. Proteomics and Metabolomics in Reproductive Health ; 5. Systems Biology Approaches in Reproductive Health ; 6. Machine Learning Algorithms in Reproductive Health ; 7. Personalized Medicine in Reproductive Health ; 8. Ethical and Privacy Considerations ; 9. Challenges and Future Directions ; ; |
| Beschreibung: | 196 Seiten 453 gr |
| ISBN: | 9781032783703 |
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| 500 | |a 1. Introduction to Systems Biology and Machine Learning ; 2. Data Sources and Data Integration in Reproductive Health ; 3. Genomics and Transcriptomics in Reproductive Health ; 4. Proteomics and Metabolomics in Reproductive Health ; 5. Systems Biology Approaches in Reproductive Health ; 6. Machine Learning Algorithms in Reproductive Health ; 7. Personalized Medicine in Reproductive Health ; 8. Ethical and Privacy Considerations ; 9. Challenges and Future Directions ; ; | ||
| 520 | |a 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 | ||
| 650 | 4 | |a bicssc / Automatic control engineering | |
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| 700 | 1 | |a Narad, Priyanka |e Sonstige |4 oth | |
| 700 | 1 | |a Gupta, Dinesh |e Sonstige |4 oth | |
| 700 | 1 | |a Modi, Deepak |e Sonstige |4 oth | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035486652 | |
Datensatz im Suchindex
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| illustrated | Not Illustrated |
| indexdate | 2025-02-03T23:00:18Z |
| institution | BVB |
| isbn | 9781032783703 |
| language | English |
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| physical | 196 Seiten 453 gr |
| publishDate | 2024 |
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| publisher | Taylor & Francis |
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| series2 | Chapman & Hall/CRC Computational Biology Series |
| spelling | Sengupta, Abhishek Verfasser aut Systems Biology and Machine Learning Methods in Reproductive Health Boca Raton Taylor & Francis 2024 196 Seiten 453 gr txt rdacontent n rdamedia nc rdacarrier Chapman & Hall/CRC Computational Biology Series 1. Introduction to Systems Biology and Machine Learning ; 2. Data Sources and Data Integration in Reproductive Health ; 3. Genomics and Transcriptomics in Reproductive Health ; 4. Proteomics and Metabolomics in Reproductive Health ; 5. Systems Biology Approaches in Reproductive Health ; 6. Machine Learning Algorithms in Reproductive Health ; 7. Personalized Medicine in Reproductive Health ; 8. Ethical and Privacy Considerations ; 9. Challenges and Future Directions ; ; 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 Narad, Priyanka Sonstige oth Gupta, Dinesh Sonstige oth Modi, Deepak Sonstige oth |
| 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 |
| title_fullStr | Systems Biology and Machine Learning Methods in Reproductive Health |
| title_full_unstemmed | Systems Biology and Machine Learning Methods in Reproductive Health |
| 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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