The authors aim to shed light on the practicality of using machine
learning in finding complex chemoinformatics and bioinformatics
applications as well as identifiying AI in biological and chemical
data points. The chapters are designed in such a way that they
highlight the important role of AI in chemistry and bioinformatics
particularly for the classification of diseases, selection of
features and compounds, dimensionality reduction and more. In
addition, they assist in the organization and optimal use of data
points generated from experiments performed using AI techniques.
This volume discusses the development of automated tools and
techniques to aid in research plans. Features Covers AI
applications in bioinformatics and chemoinformatics. Demystifies
the involvement of AI in generating biological and chemical data.
Provides an Introduction to basic and advanced chemoinformatics
computational tools. Presents a chemical biology based toolset for
artificial intelligence usage in drug design. Discusses
computational methods in cancer, genome mapping and stem cell
research.
General
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