Update README.md

README.md

@@ -3,15 +3,15 @@ The AIDO.Tissue model is develpoed on spatial single-cell transcriptomic data. T
 
 # Results
 
-We evelauted the model on two spatial data task, including predicting niche label and cell density. The metrics are as below:
+We evelauted the model on two spatial data task, including predicting niche label and cell density. Please refer to [AIDO.tissue-downstream-tasks](https://huggingface.co/datasets/genbio-ai/tissue-downstream-tasks/blob/main/README.md) for more details. Below shows the brief description and evaluation metrics.
 
-niche label type prediction:
+niche label type prediction: the task is to predict niche type of each cell given spatial expression data (in total 6 types). 
 | Model    | F1-score |
 | -------- | ------- |
 |  AIDO.Tissue | 0.67    |
 |  Nicheformer | 0.50    |
 
-cell density prediction:
+cell density prediction: the task is to predict neighbor cell number of a target cell given the expression profiles.
 | Task    | Mean absolute error | R square |
 | -------- | ------- | ------- |
 |  AIDO.Tissue | 4.44  | 0.55|