Since the lists of family foundations and corporate foundations from which we obtained data were incomplete, the data set was integrated by collecting data from Italian family businesses.
These biochemical clues are typically incomplete relatively to the set of all possible activities, especially for less studied organisms.
However, an incomplete characterization of the set of plausible models limits significantly the insight that can be gained about the underlying molecular mechanisms.
It tackles data incompleteness in the post-processing phase by means of the mean value at each dimension of each cluster for missing data in the same cluster after performing the self-organizing map on the incomplete data set in the complete data subspace.
The relationship between the incomplete set of observed samples, G, and the image, F, can be expressed by the above sampling mask as follows: G = S ⋅ F (13).
However, the phenomenon that the two flavins are exchangeable based on the stoichiometric constraints of the model may be attributed to the incomplete set of constraints in the model (such as enzyme capacity, regulatory, thermodynamic, or other constraints).
The number in the brackets stands for the number of therapies from the incomplete labeled set in which the drug occurs.
The consistent lower success rate of the training set comparing with the incomplete labeled set is due to the bias by which the training set is selected therapies that present a greater challenge than ususal and hence genotypic sequence is tested.
The results have demonstrated that there is high overlap between the gene clusters for the incomplete data set and those for the complete data set, which illustrates the robustness of the WDCM on clustering the incomplete data set at low percentage of missing values.
Moreover, the analysis was designed to be flexible, given the study context: lack of data (especially statistical data and adequate satellite images) and tools was overcome through flexibility of the method and the comparison of qualitative and quantitative assessment to ensure that the robustness of the results compensated for the incomplete set of information available.
