By Paola Lecca,Angela Re,Adaoha Elizabeth Ihekwaba,Ivan Mura,Thanh-Phuong Nguyen
Computational structures Biology: Inference and Modelling provides an advent to, and review of, community research inference techniques which shape the spine of the version of the complicated habit of organic structures.
This booklet addresses the problem to combine hugely different quantitative ways right into a unified framework through highlighting the relationships latest between community research, inference, and modeling.
The chapters are gentle in jargon and technical aspect so that it will cause them to obtainable to the non-specialist reader. The publication is addressed on the heterogeneous public of modelers, biologists, and machine scientists.
- Provides a unified presentation of community inference, research, and modeling
- Explores the relationship among math and structures biology, delivering a framework to profit to investigate, infer, simulate, and modulate the habit of advanced organic systems
- Includes chapters in modular structure for studying the fundamentals quick and within the context of questions posed through structures biology
- Offers an instantaneous type and versatile formalism throughout the exposition of mathematical thoughts and organic applications
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Computational Systems Biology: Inference and Modelling by Paola Lecca,Angela Re,Adaoha Elizabeth Ihekwaba,Ivan Mura,Thanh-Phuong Nguyen