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Computational Biology for Stem Cell Research is an invaluable guide
for researchers as they explore HSCs and MSCs in computational
biology. With the growing advancement of technology in the field of
biomedical sciences, computational approaches have reduced the
financial and experimental burden of the experimental process. In
the shortest span, it has established itself as an integral
component of any biological research activity. HSC informatics (in
silico) techniques such as machine learning, genome network
analysis, data mining, complex genome structures, docking, system
biology, mathematical modeling, programming (R, Python, Perl, etc.)
help to analyze, visualize, network constructions, and
protein-ligand or protein-protein interactions. This book is aimed
at beginners with an exact correlation between the biomedical
sciences and in silico computational methods for HSCs
transplantation and translational research and provides insights
into methods targeting HSCs properties like proliferation,
self-renewal, differentiation, and apoptosis.
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