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The import-rna --normal option is parsed on the CLI and values are passed around, but ultimately cnvlib.rna.normalize_read_depths doesn't do anything with it yet.
Use the specified "normal" samples' log2 values as a control.
Following the Tirosh paper, after iteratively centering by gene and by sample, subtract the normal samples' IQR with log2=0 as a floor:
Calculate 75%ile and 25%ile of normal samples' log2 values
For the non-normal (test/tumor) samples:
T > n75 --> T - n75
n75 >= T >= n25 --> 0
n25 > T --> T - n25
Alternatively, just subtract the rolling mean/median/biweight location of normals from the test samples.
The text was updated successfully, but these errors were encountered:
The option was already there, this just makes use of the given normals
-- in two ways:
1. Divide the normalized sample depths by the median of normals' depth
at each gene. (default)
2. Divide the normalized sample depths by the upper or lower quartiles
of normals' depth at each gene when sample depth is outside the normal
IQR, otherwise reset to the neutral value 1. (coded but disabled)
The
import-rna --normal
option is parsed on the CLI and values are passed around, but ultimately cnvlib.rna.normalize_read_depths doesn't do anything with it yet.Use the specified "normal" samples' log2 values as a control.
Following the Tirosh paper, after iteratively centering by gene and by sample, subtract the normal samples' IQR with log2=0 as a floor:
Calculate 75%ile and 25%ile of normal samples' log2 values
For the non-normal (test/tumor) samples:
Alternatively, just subtract the rolling mean/median/biweight location of normals from the test samples.
The text was updated successfully, but these errors were encountered: