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Dear developer,
Thank you for developing this exciting tool. I want to use it but could not start. The current tutorial is too simplified and very difficult to understand. Not to mention the optional parameters, how to generate the required inputs (e..g. gene_acrophase_prior.csv) is not described. Are other parameters set to the recommended values as default? Which parameters are more important to optimize? And for the outputs (e.g., cycler_ene_prior_and_posterior.tsv), which column should I look at to interpret the result? How should I visualize the results? etc.
Therefore, I think a detailed tutorial is needed to explain to users how to use tempo. Maybe using the real scRNA-seq data in your paper as demo is more exciting. Only when it is well explained, the tool (tempo) could be well cited.
Hope you could consider my suggestion and I look forward to the new tutorial.
Thank you!
The text was updated successfully, but these errors were encountered:
Hey @zqun1 ! I was wondering if you managed to get it to run. I am trying to use this data to generate some scRNA waveforms, and would love to know how they did this in the subjection titled "Generation of scRNA-seq data with only 24 h sinusoidal components" in the methods section of the paper.
Hey @zqun1 ! I was wondering if you managed to get it to run. I am trying to use this data to generate some scRNA waveforms, and would love to know how they did this in the subjection titled "Generation of scRNA-seq data with only 24 h sinusoidal components" in the methods section of the paper.
Hi @snjie209 No, I did not get any replies and in the end I gave up. Sorry about this.
Dear developer,
Thank you for developing this exciting tool. I want to use it but could not start. The current tutorial is too simplified and very difficult to understand. Not to mention the optional parameters, how to generate the required inputs (e..g. gene_acrophase_prior.csv) is not described. Are other parameters set to the recommended values as default? Which parameters are more important to optimize? And for the outputs (e.g., cycler_ene_prior_and_posterior.tsv), which column should I look at to interpret the result? How should I visualize the results? etc.
Therefore, I think a detailed tutorial is needed to explain to users how to use tempo. Maybe using the real scRNA-seq data in your paper as demo is more exciting. Only when it is well explained, the tool (tempo) could be well cited.
Hope you could consider my suggestion and I look forward to the new tutorial.
Thank you!
The text was updated successfully, but these errors were encountered: