By Paola Lecca,Angela Re,Adaoha Elizabeth Ihekwaba,Ivan Mura,Thanh-Phuong Nguyen
Computational platforms Biology: Inference and Modelling provides an creation to, and evaluate of, community research inference ways which shape the spine of the version of the advanced habit of organic structures.
This e-book addresses the problem to combine hugely diversified quantitative ways right into a unified framework through highlighting the relationships current between community research, inference, and modeling.
The chapters are gentle in jargon and technical aspect in order to cause them to available to the non-specialist reader. The booklet is addressed on the heterogeneous public of modelers, biologists, and computing device scientists.
- Provides a unified presentation of community inference, research, and modeling
- Explores the relationship among math and platforms biology, delivering a framework to profit to research, infer, simulate, and modulate the habit of complicated organic systems
- Includes chapters in modular layout for studying the fundamentals quick and within the context of questions posed via structures biology
- Offers an immediate type and versatile formalism throughout the exposition of mathematical recommendations and organic applications
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Extra 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