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cmzuo11 / stMVC

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Questions about Annotation_train_test_split.csv #3

Open Yizhi-Zhang opened 1 year ago

Yizhi-Zhang commented 1 year ago

Hi, @cmzuo11

Thank you so much for providing such a fantastic tool. I've encountered some issues while running the software.

I've noticed that there is an Annotation_train_test_split.csv file in the example dataset DLPFC_151673. However, I'm uncertain about how this file is generated and how the columns Train_test and Train_test_prop in this file are defined.

Could you assist with this issue? Thank you very much.

Yizhi

DDDoGGie commented 6 months ago

Hi, @cmzuo11

Thank you so much for providing such a fantastic tool. I've encountered some issues while running the software.

I've noticed that there is an Annotation_train_test_split.csv file in the example dataset DLPFC_151673. However, I'm uncertain about how this file is generated and how the columns Train_test and Train_test_prop in this file are defined.

Could you assist with this issue? Thank you very much.

Yizhi

Hello, I have also encountered this problem. Have you resolved it?

Yizhi-Zhang commented 6 months ago

Hi, @cmzuo11 Thank you so much for providing such a fantastic tool. I've encountered some issues while running the software. I've noticed that there is an Annotation_train_test_split.csv file in the example dataset DLPFC_151673. However, I'm uncertain about how this file is generated and how the columns Train_test and Train_test_prop in this file are defined. Could you assist with this issue? Thank you very much. Yizhi

Hello, I have also encountered this problem. Have you resolved it?

Hi, I'm sorry to say that I haven't found a solution yet. If I come across one, I'll be sure to share it here.

cmzuo11 commented 6 months ago

Hi @DDDoGGie @Yizhi-Zhang ,

I'm sorry for the delay in getting back to you. Here are the specific definitions:

(1) "Train_test" indicates the separation between the training and testing sets, where 1 denotes the training set and 0 denotes the testing set;

(2) "Train_test_prop" indicates randomly selected cells from each cluster, with 1 representing the training set and 0 representing the testing set.

Best regards, Chunman