Review of Integrative Analysis Challenges in Systems Biology

2011 ◽  
Vol 3 (4) ◽  
pp. 561-568 ◽  
Author(s):  
Lei Zhu ◽  
Amit Bhattacharyya ◽  
Edit Kurali ◽  
Amber Anderson ◽  
Alan Menius ◽  
...  
2018 ◽  
Vol 80 ◽  
pp. 19-20
Author(s):  
Thayne W. Kowalski ◽  
Lucas R. Fraga ◽  
Mariana Recamonde-Mendoza ◽  
Julia A. Gomes ◽  
Lavínia Schüler-Faccini ◽  
...  

2009 ◽  
Vol 151 (4) ◽  
pp. 1758-1768 ◽  
Author(s):  
Je-Gun Joung ◽  
Anthony M. Corbett ◽  
Shanna Moore Fellman ◽  
Denise M. Tieman ◽  
Harry J. Klee ◽  
...  

2013 ◽  
pp. 1378-1404
Author(s):  
Jake Y. Chen ◽  
Heng Xu ◽  
Pan Shi ◽  
Adam Culbertson ◽  
Eric M. Meslin

Integrative analysis and modeling of the omics data using systems biology have led to growing interests in the development of predictive and personalized medicine. Personalized medicine enables future physicians to prescribe the right drug to the right patient at the right dosage, by helping them link each patient’s genotype to their specific disease conditions. This chapter shares technological, ethical, and social perspectives on emerging personalized medicine applications. First, it examines the history and research trends of pharmacogenomics, systems biology, and personalized medicine. Next, it presents bioethical concerns that arise from dealing with the increasing accumulation of biological samples in many biobanking projects today. Lastly, the chapter describes growing concerns over patient privacy when large amount of individuals’ genetic data and clinical data are managed electronically and accessible online.


2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Rasmus Krempel ◽  
Pranav Kulkarni ◽  
Annie Yim ◽  
Ulrich Lang ◽  
Bianca Habermann ◽  
...  

Author(s):  
Jake Y. Chen ◽  
Heng Xu ◽  
Pan Shi ◽  
Adam Culbertson ◽  
Eric M. Meslin

Integrative analysis and modeling of the omics data using systems biology have led to growing interests in the development of predictive and personalized medicine. Personalized medicine enables future physicians to prescribe the right drug to the right patient at the right dosage, by helping them link each patient’s genotype to their specific disease conditions. This chapter shares technological, ethical, and social perspectives on emerging personalized medicine applications. First, it examines the history and research trends of pharmacogenomics, systems biology, and personalized medicine. Next, it presents bioethical concerns that arise from dealing with the increasing accumulation of biological samples in many biobanking projects today. Lastly, the chapter describes growing concerns over patient privacy when large amount of individuals’ genetic data and clinical data are managed electronically and accessible online.


Oncogenesis ◽  
2015 ◽  
Vol 4 (7) ◽  
pp. e160-e160 ◽  
Author(s):  
I Kuperstein ◽  
E Bonnet ◽  
H-A Nguyen ◽  
D Cohen ◽  
E Viara ◽  
...  

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