Multiple small issues from meeting 12/01/2024.

[ypriverol]

• Main priority is the creation of the CPTAC dataset Spark feature selection library for bigdata multiomics #2 Generate a dataset for feature selection using CPTAC phospho data. #3 using the phosphoproteomics and acetylome data.
• Review all the algorithms and see which one are loading everything in memory and which ones are parallelizing all the compute.
• Review other libraries that provide FS methods in Spark and reuse some of the algorithms.

Small issues:

• response in the file format must be changed to label
• The example should contain letter such as A, B, C rather than binary notation.
• Make sure the example (small example) always refer to gene expression and not protein expression. It is a GEO dataset.
• Annotate for every algorithm if is provided by Spark or is implemented by us.

[enriquea]

• Annotate for every algorithm if is provided by Spark or is implemented by us.

For this small issue, I would like to tag (label) every function with decorators. Do you know how to implement that?