Use of chemometrics in the selection of a Saccharomyces cerevisiae expression system for recombinant cyprosin B production
Two multivariate statistical methods, factor analysis (FA) and hierarchical cluster analysis (HCA), were applied to experimental data set to evaluate their usefulness in selecting the adequate expression system and optimal growth parameters for recombinant cyprosin B production. Using FA, the large...
Main Author: | |
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Other Authors: | , , , |
Format: | article |
Language: | eng |
Published: |
2020
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Subjects: | |
Online Access: | http://hdl.handle.net/10400.21/12245 |
Country: | Portugal |
Oai: | oai:repositorio.ipl.pt:10400.21/12245 |