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As a researcher, staying ahead in the rapidly advancing field of biomedical sciences requires leveraging the latest computational approaches. Computational Biology for Stem Cell Research, authored by Pawan Raghav, is an invaluable guide that bridges the gap between HSCs and MSCs, making it an indispensable resource for beginners and seasoned researchers alike.
The exponential growth of technology in biomedical sciences has led to a significant reduction in the financial and experimental burden of the research process. Computational biology has emerged as an integral component of any biological research activity, providing a robust framework for analyzing, visualizing, and modeling complex data.
HSC informatics, also known as in silico techniques, encompasses machine learning, genome network analysis, data mining, complex genome structures, docking, system biology, mathematical modeling, and programming (R, Python, Perl, etc.). These cutting-edge approaches enable researchers to explore HSCs and MSCs like never before, providing insights into their properties, such as proliferation, self-renewal, differentiation, and apoptosis.
This book is designed to provide an exact correlation between biomedical sciences and in silico computational methods for HSCs transplantation and translational research. The interdisciplinary resource caters to researchers from biomedical sciences, life sciences, and chemistry fields, offering essential insights into computational tools vital for modern research.
Product Details:
Publisher: Elsevier Science
Language: English
ISBN: 9780443132223, 9780443132216
Publication Date: January 12, 2024
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