CutPointVis: An Interactive Exploration Tool for Cancer Biomarker Cutpoint Optimization

  • Lei ZhangEmail author
  • Ying Zhu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10072)


In the field of medical and epidemiological research, it is a common practice to do a clinical or statistical dichotomization of a continuous variable. By dichotomizing a continuous variable, a researcher can build a eligibility criteria for potential studies, predict disease likelihood or predict treatment response. The dichotomization methods can be classified into data-depend methods and outcome-based methods. The data-dependent methods are considered to be arbitrary and lack of generics. While the outcome-based methods compute an optimal cut point which maximizes the statistical difference between two dichotomized groups. There is no standard software yet for an expedited cut point determination In this work, we present CutPointVis, a visualization platform for fast and convenient optimal cut point determination. Compared to existing research work, CutPointVis distinguishes itself with its realtime feature and better user interactivity. A case study is presented to demonstrate the usability of CutPointVis.


Survival Stratification Optimal Cutpoint Global Maximum Point Worth Investigation Interactive Visualization Tool 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Department of Computer ScienceGeorgia State UniversityAtlantaUSA

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