All functions

adp_gcEffects()

Adaptive GC Effects Estimation for ChIP-seq Read Counts

build_sldsc_command()

Build S-LDSC Shell Commands

compute_lfc_stats2()

Helper functions for scads

compute_topic_pvalues()

Compute Topic P-values and Binarize Peak Assignments

demo_count_matrix

Demo count matrix

get_annot_beds()

Generate BED Files from Topic Annotations

get_average_bg()

Estimate "background" accessibility rate from a reference cell‐type peak list

get_cs()

Compute Single-Cell Level Scores (c_i)

get_gc_baseline()

Calculate GC Baseline Correction Parameters for Topic-Specific Count Data

parse_peak_ranges()

Parse Peak Range Names into Components

pred_baseline_mu0()

Predict Baseline Mean Values (mu0) from GC Content

prep_gcEffects_input()

Prepare GC content input for GC-effect correction

run_fastTopics()

Run fastTopics and Generate Topic Annotations

run_sldsc()

Run S-LDSC Pipeline: Calculate disease cell score using hg19 BED and Baseline v2.2

scads()

scads: A package for using scATAC-seq data and GWAS sumstats to calculate disease cell score

scads_log()

Log a message with timestamp