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High Content Screening (HCS) platforms can generate large amounts of multidimensional data. To take full advantage of all the rich contextual information provided by these screens, a combination of traditional… Click to show full abstract
High Content Screening (HCS) platforms can generate large amounts of multidimensional data. To take full advantage of all the rich contextual information provided by these screens, a combination of traditional as well as nontraditional hit identification and prioritization strategies is required. Here, we describe the workflow and analytics of multidimensional high content data to differentiate, group, and prioritize hits.
Keywords:
data analysis;
utilization multidimensional;
content;
analysis ultra;
multidimensional data;
high content
Journal Title: Methods in molecular biology
Year Published: 2018
Link to full text (if available)
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Journal Title: Methods in molecular biology
Year Published: 2018
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!