Prediction errors in learning drug response from gene expression data - influence of labeling, sample size, and machine learning algorithm.
Model-based prediction is dependent on many choices ranging from the sample collection and prediction endpoint to the choice of algorithm and its parameters. Here we studied the effects of such choices, exemplified by predicting sensitivity (as IC50) of cancer cell lines towards a variety of compoun...
Main Authors: | Immanuel Bayer, Philip Groth, Sebastian Schneckener |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2013-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3720898?pdf=render |
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