Log Normalization

Apply a log normalization

$$\LARGE x'_{i,j} = \frac{\log(x_{i,j} + b)}{\log(a)} $$ Where:

($x_{i,j}$) is the raw count for feature $i$ in sample $j$
($x'_{i,j}$) is the log normalized expression value for feature $i$ in sample $j$
($a$) is the log base
($b$) is an offset value

params

`base`	numeric (default = 2) log base to use. Expressed as $a$ in the above equation.
`offset`	numeric (default = 1). Offset to add to expression values to avoid $\log(0)$. Expressed as $b$ in the above equation.