Systems biology, proteomics, and the future of health care: toward predictive, preventative, and personalized medicine.
By A. Weston, Leroy Hood. Journal of Proteome Research, 2004
710 citations recorded by the source corpus.
Subfields: Molecular Biology, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/024370149593014c116569d7edc064cdff561f8a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Eric J. Kunkel
- Alexey I. Nesvizhskii
- R. Spanagel
- Charles Auffray
- Leroy Hood
- David S. Wishart
- Zhu Chen
- Jianguo Xia
In Spectroscopy
- Alexey I. Nesvizhskii
- R. Spanagel
- Eric J. Kunkel
- Leroy Hood
- David S. Wishart
- Jianguo Xia
- R. Aebersold
- Eric W. Deutsch
Citations in the corpus
- Applications of Machine Learning in Cancer Prediction and Prognosis (2006, background): “The use of computers (and machine learning) in disease prediction and prognosis is part of a growing trend towards personalized, predictive medicine (Weston and Hood 2004).”
- Alcoholism: a systems approach from molecular physiology to addictive behavior. (2009, background): “Here, novel proteomic approaches may be more suitable for the development of biomarkers (528).”
- Systems medicine: the future of medical genomics and healthcare (2009, background): “preventive and participatory [230], and that takes into”
- Systems biology in drug discovery (2004, background): “Omics classification of disease states can lead to more efficient targeting or even personalization of therapies by identifying the specific molecular pathways active in particular disease states and in individual patient”
- Predictive, personalized, preventive, participatory (P4) cancer medicine (2011, background): “227" language="eng" publish="issue" relation="no"> Introduction The term 'P4 medicine' was first discussed more than 5 years ago by one of us (Leroy Hood”
- A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics (2010, background): “Significant efforts are being made to introduce proteomic technologies in clinical and translational research [6].”