A v-SVR based noise constrained Recursive Feature Extraction algorithm for robust deconvolution of cell-types mixture from molecular signatures en python
Since the significant impact of immunotherapy in cancer, the estimation of the immune cell-type proportions present in a tumor becomes crucial. Currently, the deconvolution of the cell mixture content of a tumor is carried out by different analytic tools, yet the accuracy of inferred cell type proportions has room for improvement. We improve tumor immune environment characterization developing MIXTURE, an analytical method based on a noise constrained recursive variable selection for a support vector regression
The current "functional like" version of the software requires the following libraries, however, this package download automatically yours dependencies
- pandas
- numpy
- sklearn
- multiprocessing
- joblib