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Interestingly, it has been recently reported in the context of cell line sensitivity prediction [87] that higher performance was obtained by combining moderate predictive models, instead of the most predictive models of each class.
Hejase, H. A. & Chan, C. Improving drug sensitivity prediction using different types of data.
Costello, J. C. et al. A community effort to assess and improve drug sensitivity prediction algorithms.
Significant progress has been made in the last few years on the design of drug sensitivity prediction models, along with development of numerous targeted therapies.
In this chapter, we extend the Target Inhibition Map modeling framework for drug sensitivity prediction and combination therapy design based on drug perturbation experiments to incorporate dynamical behavior.
This chapter discusses such challenges as they pertain to the advanced design of drug sensitivity prediction models, along with their validation and clinical application.
Similar(30)
Measurements were shown to give good agreement with sensitivity predictions from Geselowitz's lead theorem.
The laboratory implementation, in which analog electronics were used for the compensator, essentially verifies some of the sensitivity predictions.
Additional disputes concern estimates of climate sensitivity, predictions of additional warming, and what the consequences of global warming will be.
From single AUD and VIS presentations, we were able to calculate sensitivity predictions, assuming different levels of summation, for all other stimulus presentation conditions.
Sensitivity predictions for each PDX model were generated using the 13-gene signature.
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