Final testing set PCC (Pearson cross correlation) of algorithms with NCI dataset.
PCC score . | Cell lines . | ||
---|---|---|---|
Algorithm . | MCF7 . | OVCAR-8 . | SK-MEL-5 . |
SynAI | 0.68 ± 0.02 | 0.56 ± 0.07 | 0.86 ± 0.02 |
RF | 0.64 ± 0.02 | 0.55 ± 0.03 | 0.89 ± 0.02 |
GBX | 0.66 ± 0.02 | 0.48 ± 0.05 | 0.88 ± 0.02 |
RNN | 0.54 ± 0.12 | 0.43 ± 0.06 | 0.83 ± 0.08 |
PCC score . | Cell lines . | ||
---|---|---|---|
Algorithm . | MCF7 . | OVCAR-8 . | SK-MEL-5 . |
SynAI | 0.68 ± 0.02 | 0.56 ± 0.07 | 0.86 ± 0.02 |
RF | 0.64 ± 0.02 | 0.55 ± 0.03 | 0.89 ± 0.02 |
GBX | 0.66 ± 0.02 | 0.48 ± 0.05 | 0.88 ± 0.02 |
RNN | 0.54 ± 0.12 | 0.43 ± 0.06 | 0.83 ± 0.08 |
Final testing set PCC (Pearson cross correlation) of algorithms with NCI dataset.
PCC score . | Cell lines . | ||
---|---|---|---|
Algorithm . | MCF7 . | OVCAR-8 . | SK-MEL-5 . |
SynAI | 0.68 ± 0.02 | 0.56 ± 0.07 | 0.86 ± 0.02 |
RF | 0.64 ± 0.02 | 0.55 ± 0.03 | 0.89 ± 0.02 |
GBX | 0.66 ± 0.02 | 0.48 ± 0.05 | 0.88 ± 0.02 |
RNN | 0.54 ± 0.12 | 0.43 ± 0.06 | 0.83 ± 0.08 |
PCC score . | Cell lines . | ||
---|---|---|---|
Algorithm . | MCF7 . | OVCAR-8 . | SK-MEL-5 . |
SynAI | 0.68 ± 0.02 | 0.56 ± 0.07 | 0.86 ± 0.02 |
RF | 0.64 ± 0.02 | 0.55 ± 0.03 | 0.89 ± 0.02 |
GBX | 0.66 ± 0.02 | 0.48 ± 0.05 | 0.88 ± 0.02 |
RNN | 0.54 ± 0.12 | 0.43 ± 0.06 | 0.83 ± 0.08 |
This PDF is available to Subscribers Only
View Article Abstract & Purchase OptionsFor full access to this pdf, sign in to an existing account, or purchase an annual subscription.