Genedata, Merck Study Describes Method To Analyze HCS Data, Improve Hit Selection | GenomeWeb
Researchers at Swiss life sciences software firm Genedata have developed a method to analyze multi-parameter data from high-content screening experiments that uses distance measurements and hierarchical clustering.
 
The researchers also developed a method to select hits based on machine-learning methods that they claim can increase the hit-verification rate five-fold over conventional methods based on single-readout assays.
 

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