Hello，
I would like to use NicheNet to analyze changes in regulatory effects across multiple time-series samples. The time points in my study are: control, 8h, 16h, 24h, and 48h. The receiver cells are epidermal cells, and the sender cells are different subsets of fibroblasts.
Is this type of analysis feasible using NicheNet? If so, are there any tutorials or references you would recommend for performing time-series comparisons?
More specifically, my primary goal is to evaluate how ligand-receptor interactions and downstream regulatory potential change over time relative to the control.
Is it possible for NicheNet to quantify regulatory changes at each time point with respect to a control baseline?
Can changes in interaction strength across time points be normalized to the control condition for better comparison of dynamic trends?
I would greatly appreciate your insights or any guidance on how to approach this. Thanks!
Hello，
I would like to use NicheNet to analyze changes in regulatory effects across multiple time-series samples. The time points in my study are: control, 8h, 16h, 24h, and 48h. The receiver cells are epidermal cells, and the sender cells are different subsets of fibroblasts.
Is this type of analysis feasible using NicheNet? If so, are there any tutorials or references you would recommend for performing time-series comparisons?
More specifically, my primary goal is to evaluate how ligand-receptor interactions and downstream regulatory potential change over time relative to the control.
Is it possible for NicheNet to quantify regulatory changes at each time point with respect to a control baseline?
Can changes in interaction strength across time points be normalized to the control condition for better comparison of dynamic trends?
I would greatly appreciate your insights or any guidance on how to approach this. Thanks!