Epistemology of the Cell: A Systems Perspective on by Edward R. Dougherty,Michael L. Bittner

By Edward R. Dougherty,Michael L. Bittner

"Honorable point out – Biomedicine and Neuroscience, 2011 Prose Awards"

An exam of ways the phone could be defined so that it will successfully technique organic data

"The fruitful pursuit of organic wisdom calls for one to take Einstein's admonition [on technological know-how with out epistemology] as a realistic call for for medical study, to acknowledge Waddington's characterization of the subject material of biology, and to embody Wiener's perception of the shape of organic wisdom according to its material. it truly is from this vantage aspect that we think of the epistemology of the cell."
from the Preface

In the period of excessive organic info throughput, biomedical engineers want a extra systematic wisdom of the telephone on the way to practice more advantageous info dealing with. Epistemology of the Cell is the 1st authored e-book to collapse this data. this article examines where of organic wisdom in the framework of technological know-how as an entire and addresses concerns involved in the explicit nature of biology, how biology is studied, and the way organic wisdom is translated into functions, specifically in regards to medicine.

The booklet opens with a basic dialogue of the old improvement of human knowing of medical wisdom, the clinical strategy, and the style within which medical wisdom is represented in arithmetic. The narrative then will get particular for biology, targeting wisdom of the mobilephone, the elemental unit of existence. The salient aspect is the analogy among a systems-based research of manufacturing unit legislation and the law of the telephone. each one bankruptcy represents a key subject of present curiosity, including:

  • Causality and randomness

  • Translational science

  • Stochastic validation: classification

  • Stochastic validation: networks

  • Model-based experimentation in biology

Epistemology of the Cell is written for biomedical researchers whose pursuits comprise bioinformatics, organic modeling, biostatistics, and organic sign processing.

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