Note publique d'information : This fully updated book collects numerous data mining techniques, reflecting the acceleration
and diversity of the development of data-driven approaches to the life sciences. The
first half of the volume examines genomics, particularly metagenomics and epigenomics,
which promise to deepen our knowledge of genes and genomes, while the second half
of the book emphasizes metabolism and the metabolome as well as relevant medicine-oriented
subjects. Written for the highly successful Methods in Molecular Biology series, chapters
include the kind of detail and expert implementation advice that is useful for getting
optimal results. Authoritative and practical, Data Mining for Systems Biology: Methods
and Protocols, Second Edition serves as an ideal resource for researchers of biology
and relevant fields, such as medical, pharmaceutical, and agricultural sciences, as
well as for the scientists and engineers who are working on developing data-driven
techniques, such as databases, data sciences, data mining, visualization systems,
and machine learning or artificial intelligence that now are central to the paradigm-altering
discoveries being made with a higher frequency.
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