Numpy where complement system

Complement System

Assuming that a is a 1D array, you could just pop the items you don't want from the list of indices:. Thats not going to work if there are repeated values in the array. May be another way to create the boolean array can be: Never a good idea. You can do this nicely with boolean masks: By clicking "Post Your Answer", you acknowledge that you have read our updated terms of service , privacy policy and cookie policy , and that your continued use of the website is subject to these policies.

A simply example of numpy indexing: The pathway forms a C3 convertase, C4b2a , which splits C3 into two fragments; the large fragment, C3b , can covalently attach to the surface of microbial pathogens and opsonise them; the small fragment, C3a , activates mast cells , causing the release of vasoactive mediators such as histamine.

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Hot Network Questions. Activation of the loop is promoted in the presence of bacterial and fungal cell walls, but is inhibited by molecules on the surface of normal mammalian cells.

numpy where complement system

This pathway is initiated by the splitting of C5 , and attachment of C5b to a target. EDIT A better way to create the mask is: Is this a 1-time operation? BiRico -- wrong.

numpy where complement system

Complement System Download complement system. Harel Harel 329 1 5.

numpy where complement system

Bi Rico Bi Rico 19. Sorry, but using sets for creation of the mask is taking out the large weapons for a small problem... Complement System. This pathway is activated by the binding of mannose-binding lectin MBL to mannose residues on the pathogen surface.