Identification of network root and building parent child relationship
Hi All,
Can someone provide me reference to some algorithms to identify newtwork root? I have my data in a matrix format (as below). Here columns represents in-degree and rows represents outdegree. I need to build a hierarchy of parent-child relationship.
-------------------------------------------------
| Gene1 | Gene2 | Gene3 | Gene4 |
-------------------------------------------------
Gene1 | 0 | 1 | 0 | 1 |
Gene2 | 1 | 1 | 1 | 0 |
Gene3 | 0 | 0 | 0 | 0 |
Gene4 | 0 | 0 | 0 | 1 |
--------------------------------------------------
For info- I am using pandas to analyze data and generate the above matrix.
I am new to this field. If I did not use the correct terminology then please correct me.
Thanks, RT
0 answers
No answers yet.
Log in to answer this question.
More posts like this
-
How to multiple apply continuous mapping and Discrete mapping each column in Cytoscape
written by mmh7272
-
multi sample vcf to data matrix
written by Omics data mining
-
RIblast output Circos plot
written by ta_awwad
-
combine columns from multiple files
written by bk11 •
-
Making Zero based coordinate system in gff file
written by 1234anjalianjali1234 •
-
Circlize package ?
written by pritampkp15 •
-
Obtain sequences that did not appear in your fasta file
written by sicat.paolo20 •
-
conversion of co-expression matrix in to vector using R
written by Neu •
-
Replace tip names in a newick file
written by tlorin
-
Filtering materials of two columns in R
written by mjoyraj
Is your graph a tree ? In any case, you can find the source nodes by looking for those that have in-degree = 0, i.e. in your case for columns with only 0.
Hi Jaime, I have cyclic network. Is there any way to do this for cyclic networks?