# PCA or cluster table of experimental fitness scores

I need to find patterns experimental data.

The columns are "experiments" which are chemical treatments for growth experiments. The rows are individual gene names, the values are a fitness-defect score, which reflect the genes contribution to growth.

I would like to find patterns that are reflected across all experiments using some type of PCA or clustering. I have been trying to use sklearn but have not been successful in applying a model.

The data looks like:

gene     SGTC_1                   SGTC_2                 SGTC_3
YAL002W  3.56420220283773        1.80774301690328       0.431491057210906
YAL004W -0.885645399324204      -1.76020417788351       0.883034190306176


....

There are 4000 rows for genes and 30 columns for experiments.

Any suggestions would be greatly appreciated.