Supervised mode
With supervised mode.
python /path_to_metilene3/metilene3.py [-i <string>] [-g <string>] [-o <string>] [optional options...]
Parameters:
(Go to DMR calling for more details!)
parameter | unit | default | description |
---|---|---|---|
-i, --input | string | the input methylation data, format | |
-g, --groupinfo | string | the input group information table, format | |
-o, --output | string | the output directory | |
-t, --threads | integer | 1 | (optional) number of threads |
-s, --seed | integer | 1 | (optional) set seed for random generator |
-O, --outputImputed | bool | False | (optional) True or False, save the CpG methylation matrix with imputed values as file imputed.tsv |
-p, --verbose | bool | False | (optional) True or False, track the process |
-M, --maxdist | integer | 300 | (optional) maximum distance between two CpG, details |
-m, --minCpGs | integer | 10 | (optional) minimum CpGs, details |
-d, --minMethDiff | double | 0.1 | (optional) minimum mean methylation difference, details |
-D, --minMethDiffHigh | double | 0.5 | (optional) minimum mean methylation difference for GSEA, similar to -d, --minMethDiff but a higher value will be recommanded to reduce the number of false positive DMRs, details |
-r, --minDMR | integer | 5 | (optional) minimum CpGs with minimum mean methylation difference in a segment, details |
-v, --valley | double | 0.7 | (optional) a cutoff for the difference between global and regional methylation differences, details |
-anno, --annotation | string | (optional) hg19 or hg38, use ChIPseeker to annotate the DMRs | |
-refs, --refSeq | string | (optional) reference genome, fasta file, for sequence annotation | |
-gsea, --genesets | string | (optional) geneset gmt file for GSEA |