Standalone Version of HemoPI-MOD2
Deploy the multi-pipeline classification and continuous regression neural networks completely local to your workspace infrastructure.
Pip Installation Environment
Pip is a user-friendly management architecture that lets you provision the Python pipeline footprint using minimum system command chains and dependency layers via PyPI.
pip install HemoPI-Mod2
Download Analytical Benchmarking Datasets
The curated sequences utilized to train, validate, and isolate independent error bounds across both feature configurations.
| Dataset Cohort / Description | File Data |
|---|---|
| Extended Dataset (Cross-Validation & Blind Validation) Includes 1,539 curated training sequences covering hemolytic and non-hemolytic peptide arrays, paired with a 385-peptide held-out verification library to measure generalization accuracy. | |
| PEPstrMOD2 Benchmarking Dataset (Training & Independent Set) Includes 905 curated sequences derived by PEPstrMOD2 as specified in the publication, paired with a 195-peptide held-out verification library to measure generalization accuracy. |