BITFAM | R Documentation |
BITFAM(data, species, interseted_TF = NA, scATAC_obj = NA, ncores, iter = 8000, tol_rel_obj = 0.005) { \item{data}{A matrix or dataframe, normalized single cell RNA-seq data} \item{species}{mouse or human} \item{interseted_TF}{Transcription factors of interests} \item{scATAC_obj}{A preprocessed Seurat object of scATAC-seq data} \item{ncores}{Number of CPU cores} \item{iter}{Number of max iteration} \item{tol_rel_obj}{The convergence tolerance on the relative norm of the objective} } { sampling results of TF inferred activities and TF-gene weights } { BITFAM main function. BITFAM will infer the transcription factor activities from single cell RNA-seq data based on the ChIP-seq data }
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