Requirements:
Python 3.6.5 or above
numpy 1.14.3 or above

Example Usages:
1. Download
Downloading the files into a directory named for example: public_dataset
After downloading, one should find in the public_datasets 5 files:
1) complete_public_450_values.dupGSMDeleted.QuantileNormalized.ProbesCentered.SamplesZTransformed.npy.gz
2) complete_public_450_values.dupGSMDeleted.QuantileNormalized.ProbesCentered.SamplesZTransformed.rows.txt
3) complete_public_450_values.dupGSMDeleted.QuantileNormalized.ProbesCentered.SamplesZTransformed.cols.txt
4) README
5) transform_to_tsv.py
2. De-compress the files
`cd public_dataset ||exit
gzip -d complete_public_450_values.dupGSMDeleted.QuantileNormalized.ProbesCentered.SamplesZTransformed.npy.gz`
3. Convert the files into a compressed tsv file
`python transform_to_tsv.py \
--path_prefix complete_public_450_values.dupGSMDeleted.QuantileNormalized.ProbesCentered.SamplesZTransformed \
--save_prefix complete_public_450_values.dupGSMDeleted.QuantileNormalized.ProbesCentered.SamplesZTransformed`