Additional file 10. Python script to setup algorithms input parameters for the hyperparameter tuning with GridSearchC
The results of prediction of known cancer genes for lung, breast and prostate cancer. (XLSX 13 kb
Data S1. Data file to display levels of precision with different levels of prevelance of inclusion. ...
Supplemental files for the article: Machine learning of symbolic compositional rules with genetic pr...
Additional file 8. Python script to perform training and testing phase of the combined PC-3/DU-145 m...
Additional file 6. Python script to generate the initial PC-3, DU-145 and PC-3/DU-145 dataset
Additional file 1. Table with PC-3 ChEMBL assays used to retrieve compounds activitie
Additional file 3. PC-3 initial dataset with the 123 RDKit descriptors calculate
Additional file 4. DU-145 initial dataset with the 123 RDKit descriptors calculate
Additional file 2. Table with DU-145 ChEMBL assays used to retrieve compounds activitie
Ranked genes contributing greater than two standard deviations to ensemble classifier. (XLSX 27Â kb
 Experimental design, flow cytometry controls, hyperparameters and additional material. (DOCX 984 k...
Supplementary materials and methods. Detailed description of all the data generated during the study...
The file contains three sheets labelled Table S1 - S3. The tables list the genes that are currently ...
Supplementary Material 1: Table S1. Standardised institutional MR image sequence parameters for Pros...
Random protein training data sets, lncRNA data sets. Fasta files of protein coding and lncRNA sequen...
The results of prediction of known cancer genes for lung, breast and prostate cancer. (XLSX 13 kb
Data S1. Data file to display levels of precision with different levels of prevelance of inclusion. ...
Supplemental files for the article: Machine learning of symbolic compositional rules with genetic pr...
Additional file 8. Python script to perform training and testing phase of the combined PC-3/DU-145 m...
Additional file 6. Python script to generate the initial PC-3, DU-145 and PC-3/DU-145 dataset
Additional file 1. Table with PC-3 ChEMBL assays used to retrieve compounds activitie
Additional file 3. PC-3 initial dataset with the 123 RDKit descriptors calculate
Additional file 4. DU-145 initial dataset with the 123 RDKit descriptors calculate
Additional file 2. Table with DU-145 ChEMBL assays used to retrieve compounds activitie
Ranked genes contributing greater than two standard deviations to ensemble classifier. (XLSX 27Â kb
 Experimental design, flow cytometry controls, hyperparameters and additional material. (DOCX 984 k...
Supplementary materials and methods. Detailed description of all the data generated during the study...
The file contains three sheets labelled Table S1 - S3. The tables list the genes that are currently ...
Supplementary Material 1: Table S1. Standardised institutional MR image sequence parameters for Pros...
Random protein training data sets, lncRNA data sets. Fasta files of protein coding and lncRNA sequen...
The results of prediction of known cancer genes for lung, breast and prostate cancer. (XLSX 13 kb
Data S1. Data file to display levels of precision with different levels of prevelance of inclusion. ...
Supplemental files for the article: Machine learning of symbolic compositional rules with genetic pr...
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