Aging is a leading cause of human morbidity and mortality, but efforts to slow or reverse its effects are hampered by an incomplete understanding of its multi-faceted origins. Systems biology, the use of quantitative and computational methods to understand complex biological systems, offers a toolkit well suited to elucidating the root cause of aging. We describe the known components of the aging network and outline innovative techniques that open new avenues of investigation to the aging research community. We propose integration of the systems biology and aging fields, identifying areas of complementarity based on existing and impending technological capabilities. : Gerontology; Biological Sciences; Systems Biology; Complex Systems Subjec...
Age is the strongest risk factor for many diseases including neurodegenerative disorders, coronary h...
Age is the strongest risk factor for many diseases including neurodegenerative disorders, coronary h...
This is the peer reviewed version of the following article: Mooney, K. M., Morgan, A. E., & Mc Auley...
The last number of decades have witnessed an unrelenting global rise in the number of older people. ...
Abstract: Aging can be defined as a process of progressive decline in the physiological capacity of ...
Human aging and longevity are complex and multi-factorial traits that result from a combination of e...
Human aging and longevity are complex and multi-factorial traits that result from a combination of e...
Mathematical modeling has emerged as a powerful descriptive and predictive tool to analyze complex b...
Aging is a major risk factor for chronic diseases, which in turn can provide information about the a...
This book chapter is not available through ChesterRep.Computational modelling is a key component of ...
This book chapter is not available through ChesterRep.Computational modelling is a key component of ...
A vast amount of research has been carried out to prepare system biology that could clarify the deve...
This chapter introduces network concepts, and focuses on the application of the material in the prev...
Biological aging is a complex process involving multiple biological processes. These can be understo...
Ageing as a biological process is ubiquitous in life. In humans, ageing and its related conditions a...
Age is the strongest risk factor for many diseases including neurodegenerative disorders, coronary h...
Age is the strongest risk factor for many diseases including neurodegenerative disorders, coronary h...
This is the peer reviewed version of the following article: Mooney, K. M., Morgan, A. E., & Mc Auley...
The last number of decades have witnessed an unrelenting global rise in the number of older people. ...
Abstract: Aging can be defined as a process of progressive decline in the physiological capacity of ...
Human aging and longevity are complex and multi-factorial traits that result from a combination of e...
Human aging and longevity are complex and multi-factorial traits that result from a combination of e...
Mathematical modeling has emerged as a powerful descriptive and predictive tool to analyze complex b...
Aging is a major risk factor for chronic diseases, which in turn can provide information about the a...
This book chapter is not available through ChesterRep.Computational modelling is a key component of ...
This book chapter is not available through ChesterRep.Computational modelling is a key component of ...
A vast amount of research has been carried out to prepare system biology that could clarify the deve...
This chapter introduces network concepts, and focuses on the application of the material in the prev...
Biological aging is a complex process involving multiple biological processes. These can be understo...
Ageing as a biological process is ubiquitous in life. In humans, ageing and its related conditions a...
Age is the strongest risk factor for many diseases including neurodegenerative disorders, coronary h...
Age is the strongest risk factor for many diseases including neurodegenerative disorders, coronary h...
This is the peer reviewed version of the following article: Mooney, K. M., Morgan, A. E., & Mc Auley...