ecDNA machine learning modeling

1. ecDNA_cargo_gene_modeling_data.csv.gz

The dataset contains features from 386 TCGA tumors for modeling ecDNA cargo gene prediction. It was converted from R data format with the following code. NOTE: columns 'sample' and 'gene_id' are not used for actual modeling but for identifying, and sampling purposes.

library(data.table) data = readRDS("~/../Downloads/ecDNA_cargo_gene_modeling_data.rds") colnames(data)[3] = "total_cn" data.table::fwrite(data, file = "~/../Downloads/ecDNA_cargo_gene_modeling_data.csv.gz", sep = ",")

2. gcap_pcawg_WGS_result.tar.gz

GCAP analysis results for PCAWG allele-specific copy number profiles derived from WGS.

3. gcap_tcga_snp6_result.tar.gz

GCAP analysis results for TCGA allele-specific copy number profiles derived from SNP6 array.

4. gcap_Changkang_WES_result.tar.gz

GCAP analysis results for SYSUCC Changkang allele-specific copy number profiles derived from tumor-normal paired WES.

5. tcga_overlap_gene_wgs.rds, tcga_overlap_gene_snp.rds and tcga_overlap_gene_wes.rds

These datasets contain TCGA gene-level copy number results in R data format from overlapping samples (dataset above). WGS from PCAWG, SNP array, and WES from GDC portal.

6. cellline-batch1.zip & cellline-batch1.zip

GCAP results of cell line batch 1 and batch 2.

7. AA_cellline_wgs.zip

AA software results for cell line batch 1.

8. Batch2_AA_summary.xlsx

AA software results for cell line batch 2.

9. FISH-for-supp-file.zip

Extended raw FISH images from 12 CRC samples.

10. SNU216.zip

Extended AA and GCAP analysis on SNU216.

11. aa_ffpe.zip and AA_summary_table_of_6_erbb2_ffpe_samples.xlsx

Extended AA running files (all results) and result summary data for 6 GCAP predicted ERBB2 amp clinical samples.

12. source data of fig.4

13. source data of supp fig.2 subplots

13. source data of supp fig.15

14. GCAP result data objects for three ICB cohorts. Both gene-level and sample-level data included.