Titlebook: Evolutionary Systems Biology; Orkun S. Soyer Book 20121st edition The Editor(s) (if applicable) and The Author(s), under exclusive license

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書目名稱Evolutionary Systems Biology影響因子(影響力)




書目名稱Evolutionary Systems Biology影響因子(影響力)學(xué)科排名




書目名稱Evolutionary Systems Biology網(wǎng)絡(luò)公開度




書目名稱Evolutionary Systems Biology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Evolutionary Systems Biology被引頻次




書目名稱Evolutionary Systems Biology被引頻次學(xué)科排名




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書目名稱Evolutionary Systems Biology年度引用學(xué)科排名




書目名稱Evolutionary Systems Biology讀者反饋




書目名稱Evolutionary Systems Biology讀者反饋學(xué)科排名

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Evolution In Silico: From Network Structure to Bifurcation Theory,ilico evolution finds both known and original network designs, and can be used to make predictions on biological behaviours. This computation illustrates how complex traits can evolve in an incremental way, and suggests that dynamical systems theory could be used to get new insights towards a predictive evolutionary theory.

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Book 20121st editionprinciples” and extend predictions made in model organisms to others. In addition, evolutionary systems biology can generate new insights into the adaptive landscape by combining molecular systems biology models and evolutionary simulations. This insight can enable the development of more detailed mechanistic evolutionary hypotheses.

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Book 20121st editionin an evolutionary framework. An evolutionary approach might allow understanding the significance of observed diversity, uncover “evolutionary design principles” and extend predictions made in model organisms to others. In addition, evolutionary systems biology can generate new insights into the ada

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https://doi.org/10.1007/978-1-349-22453-1populations. Here we discuss the quantitative genetics and systems biology approaches for the study of complex trait architecture and discuss why these two disciplines would synergize with each other to answer questions that neither of the two could answer alone.

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