Entering edit mode
2.3 years ago
pgangaitkar
•
0
Hello,
I want to classify CD4+ and CD8+ T cell using Machine learning approach. I am unable to find dataset having rows (Instances), columns (Features), and labels (.CSV or .XSL) format. Kindly help me out, How to or from where to download the dataset? so that I can processed my work.
Please help me.
Thanking You
Sorry, but you need to be more specific. Which type of data are you looking for? What do you mean by
rows (Instances)? Are you looking for proteomics, single-cell RNA-seq, etc?There are many types of omics data sets that can potentially be used from machine learning. You need to be more specific.
If you're looking for single-cell RNA-seq data (cells x genes, where the entries represent gene expression values - measurements) you can perhaps start by a recent resource made available by the Teichmann lab & colleagues about the Immune Tissue Cell Atlas:
paper: DomÃnguez Conde et al., 2022
jupyter notebooks (with analysis): https://github.com/Teichlab/TissueImmuneCellAtlas
processed data (to download): https://www.tissueimmunecellatlas.org/
classification tool (developed by them): CellTypist
I hope this helps,
António
Thank You for your valuable comment. Basically, I am not from the Biological/ Chemical field. I am a student of Computer science. So I don't have much knowledge about this. I need a dataset (feature vector) containing some rows having CD4+ cell and some are CD8+ cells, Columns indicate that number of features. So that I can apply my AI approach and build a prediction model.
In that case you can try to use the data set above. It is perhaps not the most simple example to start from, but it is a comprehensive data set that provides many cell types at different hierarchical resolutions that you can use to filter down to the cell types that you are interested in.