By Paola Lecca,Angela Re,Adaoha Elizabeth Ihekwaba,Ivan Mura,Thanh-Phuong Nguyen
Computational platforms 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 platforms.
This booklet addresses the problem to combine hugely diversified quantitative methods right into a unified framework by means of highlighting the relationships current between community research, inference, and modeling.
The chapters are mild in jargon and technical element to be able to cause them to obtainable to the non-specialist reader. The booklet is addressed on the heterogeneous public of modelers, biologists, and desktop scientists.
- Provides a unified presentation of community inference, research, and modeling
- Explores the relationship among math and platforms biology, supplying a framework to profit to investigate, infer, simulate, and modulate the habit of advanced organic systems
- Includes chapters in modular layout for studying the fundamentals quick and within the context of questions posed through platforms biology
- Offers an immediate kind and versatile formalism throughout the exposition of mathematical innovations and organic applications
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Extra resources 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