Update README.md

README.md

@@ -10,6 +10,13 @@ This package is under development and not yet available on PyPI. You can, noneth
 pip install git+https://github.com/ocbe-uio/pCRscore.git
 ```
 
+# Expected Input
+
+This package takes cell fractions, likly from spatial proteomics, scRNA seq or estimations using deconvolution methods and clinical out come (pCR vs RD- residual disease). It is possible to provide the cohort alongside these information, otherwise the code randomly assigns the rows to discovery and validation cohorts. 
+
+# Expected Output
+For each cell type, a pCR score is assined and provided in csv file. Ucertanity values for these scores are also provided. 
+
 # References
 
 Explainable Machine Learning Reveals the Role of the Breast Tumor Microenvironment in Neoadjuvant Chemotherapy Outcome