A P-value Glyph Matrix Visualisation for Multi-Target Biochip Biosensor Selection

This paper introduces a novel glyph-based visualisation to help biologists evaluate the effectiveness of different biosensors to be used with multi-target biochips. The interface divides into two representation, first is the plate view, where visualising the replication of biosensors plate experiment, and the second is the matrix view which implements glyph-based techniques, a notable graphic or representation, which helps the biologist to determine which biosensors have the best ability to detect and identify analytes by obtaining RGB values and showing the results of t-tests comparing results for biosensors in either a control environment or exposed to different analytes. This is done for different exposure times and for different biosensors to show which biosensors are most effective at detecting and differentiating between analytes over different periods. The biosensors experiment is done for fifteen biosensors within thirty seconds with two types of antibiotics and a control (no antibiotic). Several patterns of biosensors were found after using this interface. Therefore, the resulting visualisation helps biologists to select the most effective biosensors for the design of a multi-target bio-chip to detect a variety of analytes for a given range of exposure times.