ToxPi GUI: an interactive visualization tool for transparent integration of data from diverse sources of evidence
Author(s) -
David M. Reif,
Myroslav Sypa,
Eric F. Lock,
Fred A. Wright,
Ander Wilson,
Tommy Cathey,
Richard Judson,
Ivan Rusyn
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts686
Subject(s) - graphical user interface , computer science , visualization , prioritization , metric (unit) , variety (cybernetics) , visual approach , domain (mathematical analysis) , interactive visualization , interface (matter) , human–computer interaction , user interface , data mining , data science , information retrieval , artificial intelligence , management science , mathematical analysis , operations management , mathematics , bubble , maximum bubble pressure method , parallel computing , engineering , economics , programming language , aerospace engineering , operating system
Scientists and regulators are often faced with complex decisions, where use of scarce resources must be prioritized using collections of diverse information. The Toxicological Prioritization Index (ToxPi™) was developed to enable integration of multiple sources of evidence on exposure and/or safety, transformed into transparent visual rankings to facilitate decision making. The rankings and associated graphical profiles can be used to prioritize resources in various decision contexts, such as testing chemical toxicity or assessing similarity of predicted compound bioactivity profiles. The amount and types of information available to decision makers are increasing exponentially, while the complex decisions must rely on specialized domain knowledge across multiple criteria of varying importance. Thus, the ToxPi bridges a gap, combining rigorous aggregation of evidence with ease of communication to stakeholders.
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