Mathematical framework for activity-based cancer biomarkers.
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Photoactivated Spatiotemporally-Responsive Nanosensors of in Vivo Protease Activity.Magnetically Actuated Protease Sensors for in Vivo Tumor ProfilingBeyond the Michaelis-Menten equation: Accurate and efficient estimation of enzyme kinetic parameters.An experimental and computational framework for engineering multifunctional nanoparticles: designing selective anticancer therapies.Sustained-release synthetic biomarkers for monitoring thrombosis and inflammation using point-of-care compatible readouts.Improving cancer detection through combinations of cancer and immune biomarkers: a modelling approach.
P2860
Mathematical framework for activity-based cancer biomarkers.
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2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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name
Mathematical framework for activity-based cancer biomarkers.
@ast
Mathematical framework for activity-based cancer biomarkers.
@en
type
label
Mathematical framework for activity-based cancer biomarkers.
@ast
Mathematical framework for activity-based cancer biomarkers.
@en
prefLabel
Mathematical framework for activity-based cancer biomarkers.
@ast
Mathematical framework for activity-based cancer biomarkers.
@en
P2093
P2860
P50
P356
P1476
Mathematical framework for activity-based cancer biomarkers.
@en
P2093
Emmanuel Carrodeguas
Eric V Mazumdar
Sangeeta N Bhatia
P2860
P304
12627-12632
P356
10.1073/PNAS.1506925112
P407
P577
2015-09-28T00:00:00Z