/FSL_CP_DataPrep

Preparing data for few-shot learning with Cell Painting Assay

Primary LanguageJupyter NotebookBSD 2-Clause "Simplified" LicenseBSD-2-Clause

FSL_CP_DataPrep

Preparing data for few-shot learning with Cell Painting Assay

How to use

Order for running scripts: From 1 to 12 (11 can be skipped since we no longer use jsonl files)

Extra folders needed

/csv folder with 'chemical_annotations.csv', 'processed_data_concat.csv'

/sql folder with 'chembl_31_sqlite/chembl_31.db', or any version of ChEMBL

Blank /jsonl, /temp and /output folder. The /jsonl and /output folder contain the final data

Also refer to the screenshot attached for the layout of the folder

Contact

Son Ha | LinkedIn | Twitter