Description:

PSIMPL 0.0.2

Peptide-Spectrum match IMPutation Library (PSIMPL)
PSIMPL is a python library for easy imputation of missing PSM data. Given an input PIN file, PSIMPL determines which features contain missing values. PSIMPL then performs imputation by training a regressor on fully observed feature samples.
PSIMPL's API offers a high degree of flexibility, including a large number of state-of-the-art regression algorithms such as:
-Linear Regression
-Ridge Regression
-Lasso (i.e., L1 regularization)
-ElasticNet (i.e., L1+L2 regularization)
Future work: cross-validation (CV) for hyperparameter optimization, XGBoost/DNN/Support Vector Regression

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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