# z-score normalize values in tsv file matlab

To z-score normalize values in a TSV (Tab-Separated Values) file using MATLAB, you can follow these steps:

- Read the TSV file into a matrix using the
`readmatrix`

function. Specify the delimiter as the tab character ('\t').

```
data = readmatrix('filename.tsv', 'Delimiter', '\t');
```

- Calculate the mean and standard deviation for each column using the
`mean`

and`std`

functions along the appropriate dimension. Specify`0`

as the second argument to calculate the mean and standard deviation along each column.

```
means = mean(data, 1);
stds = std(data, 0, 1);
```

- Subtract the mean from each value in the matrix and divide by the standard deviation. This will give you the z-score normalized values.

```
zscore_data = (data - means) ./ stds;
```

- Optionally, you can write the z-score normalized data back to a TSV file using the
`writematrix`

function. Specify the delimiter as the tab character ('\t').

```
writematrix(zscore_data, 'zscored_filename.tsv', 'Delimiter', '\t');
```

That's it! The `zscore_data`

matrix will contain the z-score normalized values of the original TSV file. Remember to replace `'filename.tsv'`

with the actual name of your TSV file and `'zscored_filename.tsv'`

with the desired name for the z-scored TSV file.

Let me know if you have any further questions.