Mismatch (MM) score: Loci of low complexity were used to generate mismatch ranking (see Material and Methods under Fidelity section).
Our ranking analysis (see Materials and Methods) yielded a list of 174 differentially expressed genes (DEGs) with a >1-fold change at a false discovery rate lower than 0.001.
In this paper an approach is presented which facilitates transparency and reliability of obtained results for the selection, simulation and ranking process for material flow design alternatives.
Thus, performance rankings of three materials in adhesive and fretting wear modes were identical while for abrasive and erosive wear modes, exactly the reverse trend was observed.
At the same time, many rankings missed highly material aspects of sustainability -- banks were ranked on their carbon footprints, for example, but not on the social and financial risks of subprime lending.
The rankings of the selected materials almost corroborate with those as obtained by the past researchers.
It is observed that the obtained rankings of the alternative materials are good agreement with those derived by the past researchers.
To determine this, we tested the predictive capabilities of all combinations of orientation and ordering for Cbf1 and Met31 using the gene-ranking approach described in Materials and Methods.
In the following subsections, we calculated the weighted and entropy-weighted MULTIMOORA rankings for two material selection problems cited in the study of Karande and Chakraborty (2012a).
