DeepDECONV: Transformer-Based Decoding of Transcriptional Dynamics from Live-Cell Nascent RNA Signals

This folder contains the data and analysis code associated with the DeepDECONV manuscript. Contents This archive includes: Raw dataOriginal live-cell nascent RNA fluorescence trajectories used in the analysis. Python scripts for deconvolution and statistical analysisThese scripts include the deconvolution workflow and downstream statistical analyses of the inferred transcription initiation time series and single-RNA contribution functions. MATLAB scripts for secondary analysis and plottingThese scripts were used for additional analysis and figure generation based on the processed results. Note on the deconvolution code The deconvolution part of the code cannot be run directly from this archive alone. It requires a CUDA-enabled environment and additional deep-learning modules used by the DeepDECONV model. Please refer to the Code availability section of the manuscript for the complete implementation and runtime requirements. Usage The raw data and processed analysis scripts are provided to support reproducibility of the analyses and figures reported in the manuscript. Some scripts may require local path adjustments before use.