BITFAM is a Bayesian approach and platform to infer transcription factor activities within individual cells using single cell RNA-sequencing data. Please see Gao S et al., Genome Research (2021) https://genome.cshlp.org/content/31/7/1296 for details.
First, thank you for developing this wonderful tool! I am recently trying to apply BITFAM in our research, but when I run according to example codes, I find that 'Z.vb.beta.prior' is missing in the R enviroment, whih prevent me from running 'fit_rf <- randomForest(neuron~., data = Z_neuron)'. Could you plase help me to solve this issue? Thank you so much!
Hi,
First, thank you for developing this wonderful tool! I am recently trying to apply BITFAM in our research, but when I run according to example codes, I find that 'Z.vb.beta.prior' is missing in the R enviroment, whih prevent me from running 'fit_rf <- randomForest(neuron~., data = Z_neuron)'. Could you plase help me to solve this issue? Thank you so much!
Best, Boyu