Here you find the main functions and algorithms.

Input & Parameters	Function name	With what?	Order matters?	Output
lst, include_same	self_combine	itself	no	?
lst, include_same	self_permute	itself	yes	?
lst1, lst2	other_combine	other list	no	?
lst1, lst2	other_permute	other list	yes	?

include_same (True | default: False)
Do you want to combine or permute value x with itself? XX, YY, ZZ etc.

Examples.

fn self_combine(lst)
is <lst> a pandas Series or python list?
<lst> contains A, B, C, D, E, F
--> result:
AA AB AC AD AE AF
BB BC BD BE BF
CC CD CE CF
DD DE DF
EE EF
FF

fn self_permute(lst)
is <lst> a pandas Series or python list?
<lst> contains A, B, C, D, E, F
--> result:
AA AB AC AD AE AF
BA BB BC BD BE BF
CA CB CC CD CE CF
DA DB DC DD DE DF
EA EB EC ED EE EF
FA FB FC FD FE FF

fn other_combine(lst1, lst2)
is <lst1> and <lst2> pandas Series or python list?
<lst1> contains A, B, C
<lst2> contains D, E, F
--> result:
AD AE AF
BD BE BF
CD CE CF

fn other_permute(lst1, lst2)
is <lst1> and <lst2> pandas Series or python list?
<lst1> contains A, B, C
<lst2> contains D, E, F
--> result:
AD AE AF
BD BE BF
CD CE CF
DA DB DC
EA EB EC
FA FB FC

Different blood components have different scales. You want to convert the value in one scale in a 0-1 scale.

Scaling is also useful for interpreting the significance of a certain numerical result. How significant is it to have 0.6 of Pearson Correlation?

Input & Parameters	Input type	Function name
x, x_range, y_range, round_to	number, number, number, integer	scale

y_range ((minimum y, maximum y) | default: (0,1))
What target range do you want to convert x in?

Define regex