ScienceCowboy

Dear all, In machine learning library scikit-learn of python, the logestic regression function has an argument "class_weight". When you set a higher class weight to a class during fitting the logestic model, you will get higher predictive accuracy of this class. I wish to know what is mathematical principal of setting class_weight. Is it related to modify the target function of logestic regression (https://drive.google.com/open?id=16TKZFCwkMXRKx_fMnn3d1rvBWwsLbgAU) ? Thank you in advance.

Hello CharonY, Thank you for your reply. You mean that the operon can be expressing using a usual e.coli expression vector? The organization of the operon and the MCS of the vector look like the figure at the following link: https://drive.google.com/file/d/18I2RbL_B7vV6ne89Bc1KdN5-O2xal4lk/view?usp=sharing By this clone method, do you think all the proteins in the operon can be successfully expressed? Thank you again.

Dear everyone I need to produce a protein complex from a bacterium. The protein complex contains four proteins and all of these proteins are encoded in an operon. Can I clone the whole operon into a usual expression vector and express and purify the complex? I expression vector, for example, pET, has its promoter, but can this promoter control the expression of all the four protein? In my opinion, the vector promoter can control the expression of the first (the ORF nearest to 5'-terminus) protein, but can it also control the expression of the proteins far away from it? Best regards.