Consistency analysis of metabolic correlation networks

Statistical Consistency of Kernel Canonical Correlation Analysis

While kernel canonical correlation analysis (CCA) has been applied in many contexts, the convergence of finite sample estimates of the associated functions to their population counterparts has not yet been established. This paper gives a mathematical proof of the statistical convergence of kernel CCA, providing a theoretical justification for the method. The proof uses covariance operators defi...

Lightweight Consistency Analysis of Dataflow Process Networks

Stoichiometric analysis of metabolic networks

A major current challenge in systems biology is to clarify the relationship between structure, function and regulation in complex metabolic networks reconstructed from genomic data. However, dynamic mathematical modeling of large-scale networks meets difficulties as the necessary mechanistic detail and kinetic parameters are rarely available. In contrast, structure-oriented (stoichiometric / co...

Stability analysis of metabolic networks

Metabolic networks are complex systems of interconnected biochemical reactions. Mathematically, such a complex network can be conveniently represented by a set of ordinary differential equations. Mathematical models for metabolism aim to improve the understanding of metabolic regulation by quantifying essential aspects of a metabolic system. Because of the large number of species involved in th...

rodbar dam slope stability analysis using neural networks

در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...