Systems Biology and Machine Learning Methods in Reproductive Health (Chapman & Hall/CRC Computational Biology Series)
by Abhishek Sengupta, Priyanka Narad, Dinesh Gupta, Deepak Modi
This volume in the Chapman & Hall/CRC Computational Biology Series delves into systems biology and machine learning applications for reproductive health. Authored by experts Abhishek Sengupta, Priyanka Narad, Dinesh Gupta, and Deepak Modi, it offers computational methods to analyze and model reproductive biological data, fostering innovative research in this essential area of health science.
About This Book
Systems Biology and Machine Learning Methods in Reproductive Health is part of the Chapman & Hall/CRC Computational Biology Series. It focuses on applying advanced computational techniques to study reproductive health.
The book covers systems biology approaches combined with machine learning to model and predict outcomes in reproductive processes. Authors Abhishek Sengupta, Priyanka Narad, Dinesh Gupta, and Deepak Modi contribute expertise in computational biology.
Readers will find methods for handling biological data specific to reproductive health, emphasizing interdisciplinary tools for research and analysis.
This work aims to bridge computational methods with biological insights, supporting advancements in reproductive health studies.
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