By Paola Lecca,Angela Re,Adaoha Elizabeth Ihekwaba,Ivan Mura,Thanh-Phuong Nguyen
Computational structures Biology: Inference and Modelling provides an advent to, and evaluate of, community research inference techniques which shape the spine of the version of the advanced habit of organic structures.
This e-book addresses the problem to combine hugely varied quantitative methods right into a unified framework via highlighting the relationships present between community research, inference, and modeling.
The chapters are mild in jargon and technical aspect with the intention to lead them to obtainable to the non-specialist reader. The booklet 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 platforms biology, supplying a framework to benefit to research, infer, simulate, and modulate the habit of complicated organic systems
- Includes chapters in modular layout for studying the fundamentals fast and within the context of questions posed through platforms biology
- Offers a right away variety and versatile formalism throughout the exposition of mathematical recommendations and organic applications
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Additional info for Computational Systems Biology: Inference and Modelling
Computational Systems Biology: Inference and Modelling by Paola Lecca,Angela Re,Adaoha Elizabeth Ihekwaba,Ivan Mura,Thanh-Phuong Nguyen