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:

1. 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');

1. 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);

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;

1. 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.