I would like to express my appreciation for your work and the code you provided. It has been very helpful in my research. However, while attempting to reproduce the results, I've encountered some challenges, particularly when dealing with multiple samples.
I was wondering if you could provide more detailed code or additional guidance on the following aspects:
For scRNA-sequencing of a single sample, I'm confused about the Barcode level signal denoising and subsequent steps, which is hindering my analysis.
Typically, the single-cell samples I analyze are multi-sample datasets. However, I'm unsure how to proceed with multi-sample analysis and at which step I should integrate the samples.
For the subsequent steps in RStudio, I couldn't find the provided code on GitHub, making it difficult for me to reproduce the results.
Any specific considerations or adjustments needed for SAHMI analysis would be greatly appreciated. Your insights would be invaluable in enhancing my understanding and facilitating the successful implementation of the SAHMI algorithm in my research.If possible, I would sincerely appreciate it if you could provide more detailed code with comprehensive comments.
I would like to express my appreciation for your work and the code you provided. It has been very helpful in my research. However, while attempting to reproduce the results, I've encountered some challenges, particularly when dealing with multiple samples. I was wondering if you could provide more detailed code or additional guidance on the following aspects:
For the subsequent steps in RStudio, I couldn't find the provided code on GitHub, making it difficult for me to reproduce the results.
Any specific considerations or adjustments needed for SAHMI analysis would be greatly appreciated. Your insights would be invaluable in enhancing my understanding and facilitating the successful implementation of the SAHMI algorithm in my research.If possible, I would sincerely appreciate it if you could provide more detailed code with comprehensive comments.