Systems Biology and Machine Learning Methods in Reproductive Health (1) (Chapman & Hall/CRC Computational Biology Series)

By: Abhishek Sengupta and Priyanka Narad and Dinesh Gupta and Deepak Modi

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Synopsis: 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.

Book Quality:: Publisher Quality
Book Size:: 196 Pages
ISBN-13:: 9781040269664
Related ISBNs:: 9781032783703, 9781003487548, 9781032755519, 9781040269640
Publisher:: CRC Press
Date of Addition:: 01/10/25
Copyrighted By:: selection and editorial matter, Abhishek Sengupta, Priyanka Narad, Dinesh Gupta, and Deepak Modi individual chapters, the contributors
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: null Abhishek Sengupta
Edited by:: null Priyanka Narad
Edited by:: null Dinesh Gupta
Edited by:: null Deepak Modi