Machine learning and neural networks

To analyze the large amount of data generated by the high-throughput technologies developed at MERLN, we have established automated pipelines to process for example high-content images obtained from screening platforms and transcriptomics and proteomics data sets. We employ advanced machine learning techniques such as Random Forest algorithms and regression trees as well as neural networks to derive predictive models.

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