Blinatumomab, the bispecific T cell engager, has been demonstrated as the most successful BsAb to date. Throughout the past decade, vector design has great importance for the expression of monoclonal antibody in Chinese hamster ovary (CHO) cells. It has been indicated that expression plasmids based on the elongation factor-1 alpha (EF-1 alpha) gene and DHFR selection marker can be highly effect...

the selection of erp systems has been considered as one of the most influential and risky managerial decisions due to its heavy burden of purchase and implementation costs. the purpose of this paper is designing a fuzzy expert system for selecting the appropriate erp system based on the internationally selected and validated criteria for minimizing the risks of inappropriate selection. if an op...

Here, we propose a fuzzy analytic hierarchy process (FAHP) method to evaluate the alternatives of enterprise resource planning (ERP) system. The fuzzy AHP approach allows the users get values more accurately to model the vagueness which changes according subjective ideas in the decision-making environment for ERP system selection problem. Therefore, fuzzy AHP method is used to obtain firm decis...

Blinatumomab, the bispecific T cell engager, has been demonstrated as the most successful BsAb to date. Throughout the past decade, vector design has great importance for the expression of monoclonal antibody in Chinese hamster ovary (CHO) cells. It has been indicated that expression plasmids based on the elongation factor-1 alpha (EF-1 alpha) gene and DHFR selection marker can be highly effect...

selective signatures in whole genome can help us to understand the mechanisms of selection and to identify the genomic regions that have been under natural or artificial selection during long years. the objective of this study was to identify the genomic regions that have been under artificial and natural selection in baluchi and zel sheep breeds. 143 sheep from baluchi (n=96) and zel breeds (n...

In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...