I have recently started learning scRNA seq data analysis and would want to apply my newly learned skills to a problem of my choice. I also have decent exposure to machine learning. I have learnt that sc-RNA-Seq is also quite valuable in cell-differentiation factor predictions (there are many papers and databases that try to predict differentiation factors based on scRNA-Seq). Based on the interest of my lab group, I want to predict the best growth factors and differentiation factors for human muscle cells. To that end, I am currently on the look out for similar papers and datasets. Can anyone guide me to scRNA seq datasets for human muscle cells and papers that predict growth factors for the same?
0 answers
No answers yet.
Log in to answer this question.
-
Tool: Improved prediction of microbial optimal growth temperatures
written by Mensur Dlakic
-
Well-established methods to distinguish malignant vs normal epithelial cells in mouse scRNA-seq dat…
written by andromeda.milky42 •
-
scRNA-seq data trained model can be used for predictions on bulk RNA-seq data?
written by Bibi •
-
Question about scRNA-seq cell annotation using SingleR
written by Yingying •
-
Human Rat xenograft
written by chiara.sdn •
-
How to get full list of ID-s of scRNA datasets in EBI Single Cell Expression Atlas ?
written by Alexander •
-
The best way to find cell differentiation path
written by fifty_fifty •
-
Reference list of cytokines/growth factors
written by sadeghdavoudi •
-
Why product sizes differ so much among different single cell RNA sequencing datasets?
written by Snow Yeung •
-
Predicting protein-protein interactions
written by Gene_MMP8
You can find normal mouse single cell datasets at tabula muris.
Normal single cell datasets for humans are available here.
SRA-explorer is your friend to search SRA data for relevant projects.
A new paper just came out for single cell analysis of all major human organs.