Update README.md

README.md

@@ -3,8 +3,8 @@ For more details, please refer to https://huggingface.co/genbio-ai/AIDO.Tissue-6
 # Finetuning AIDO.Tissue for spatial single cell downstream tasks
 We introduce how to finetune and evaluate our pre-trained AIDO.Tissue foundation models for downstream tasks. These tasks can be classified into the following categories:
 
-  * **Sequence-level classification tasks**: niche label type prediction
-  * **Sequence-level regression tasks**: cell density prediction
+  * **Cell-level classification tasks**: niche label type prediction
+  * **Cell-level regression tasks**: cell density prediction
 
 Note: All the following scripts should be run under `ModelGenerator/`.
 
@@ -15,7 +15,7 @@ For each `.h5ad`, several obs attributes should be included to reprezent the spa
 
 Note: the file `scRNA_genename_and_index.tsv` includes all the corresponding gene name and index in h5ad file.
 
-## Sequence-level classification tasks
+## Cell-level classification tasks
 ### niche label type prediction
 We fully finetune AIDO.Tissue for niche label type prediction.
 
@@ -43,7 +43,7 @@ CUDA_VISIBLE_DEVICES=6 nohup mgen test --config experiments/AIDO.Tissue/niche_ty
 Note: `ckpt_path` is the finetuned checkpoint path.
 
 
-## Sequence-level regression tasks
+## Cell-level regression tasks
 
 ### cell density prediction