As defined by Todeschini and Consonni [31], a molecular descriptor is the final result of a logical and mathematical procedure that transforms chemical information encoded within a symbolic representation of a molecule into a useful number (calculated descriptors), or the result of standardized experiments (experimental descriptors).
Molecular descriptor is the final result of a logic and mathematical procedure which transforms chemical information encoded within a symbolic representation of a molecule into a useful number or a result of a standardized experiment [ 23].
That number is a patent and that descriptor is Inventor.
The third important descriptor is surface tension.
However, the challenge can be defeat by forming mathematical descriptor to represent the histologic texture and classify the structural changes via a sophisticated computational method.
In such clusters, the module eigengene –a mathematical descriptor of the cluster– was used to summarize the expression profile of each cluster [ 39].
Several types of mathematical descriptors have since been developed to represent axonal and dendritic morphology.
An important practical application of the statistical descriptors is mathematical reconstruction of RVEs based on the reference sample experimental data, formalized in a form of statistical descriptors.
The medial axis transform (MAT), a mathematical descriptor of object shape, [ 41] is used to analyze the shape of the cell, a technique that has been used in several automated cell morphology analyses [ 42, 43].
Other features are mathematical descriptors, or numerical 'fingerprints', of texture and intensity patterns; the use of these is well-established in cellular image analysis (Boland and Murphy, 2001), and while they are not directly interpreted as a specific process or function, they sensitively pick up complex changes in the cellular network caused by the genetic perturbations.
