Information Processing and Biological Systems Information Processing and Biological Systems
Intelligent Systems Reference Library

Information Processing and Biological Systems

    • ‏149٫99 US$
    • ‏149٫99 US$

وصف الناشر

Living beings require constant information processing for survival. In cells, information is being processed and propagated at various levels, from the gene regulatory network to chemical pathways, to the interaction with the environment. How this is achieved and how information is coded is still poorly understood. For example, what a cell interprets as information in the temporal level of an mRNA and what is interpreted as noise remains an open question. Recently, information theoretical methods and other tools, developed in the context of engineering and natural sciences, have been applied to study diverse biological processes. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language. An overview is presented of the state-of-the-art in information processing in biological systems and the opinion of current leaders in this research field on future research directions.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١٠ مارس
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Berlin Heidelberg
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Evolutionary Computation in Gene Regulatory Network Research Evolutionary Computation in Gene Regulatory Network Research
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Networks: From Biology to Theory Networks: From Biology to Theory
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Advances in Artificial Life Advances in Artificial Life
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Bioinformatics Bioinformatics
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Artificial Life and Evolutionary Computation Artificial Life and Evolutionary Computation
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Information Processing in Cells and Tissues Information Processing in Cells and Tissues
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Data Mining Data Mining
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Granular Computing and Intelligent Systems Granular Computing and Intelligent Systems
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Towards Intelligent Modeling: Statistical Approximation Theory Towards Intelligent Modeling: Statistical Approximation Theory
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Hybrid Random Fields Hybrid Random Fields
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Knowledge Annotation: Making Implicit Knowledge Explicit Knowledge Annotation: Making Implicit Knowledge Explicit
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Intelligent Systems Intelligent Systems
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