A schematic overview of the BITFAM machine learning system developed by researchers at UIC. User provided sequencing data (“Normalized scRNA-Seq gene expression”) and existing data on transcription factor binding sites (“ChIP-seq TF-Target gene matrix”) are analyzed to predict transcription factor activity (“Inferred TF activity”) that can be leveraged for a broad range of analyses. (Illustration via Genome Research, Attribution 4.0 International CC BY 4.0 license)

Print Friendly, PDF & Email