dorsal/arxiv
View SchemaOn The Reconstruction of Interaction Networks with Applications to Transcriptional Regulation
| Authors | Adam A. Margolin, Ilya Nemenman, Chris Wiggins, Gustavo Stolovitzky, Andrea Califano |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0410036 |
| URL | https://arxiv.org/abs/q-bio/0410036 |
Abstract
A novel information-theoretic method for reconstruction of interaction networks is introduced. We prove that the method is exact for some class of networks. Performance tests on large synthetic transcriptional regulatory networks produce very encouraging results.
{
"annotation_id": "9e7f8092-dac8-4946-8275-723e0627e5c6",
"date_created": "2026-03-02T18:01:31.736000Z",
"date_modified": "2026-03-02T18:01:31.736000Z",
"file_hash": "59291378f364946e38040cb370efe8474d210b6761b4bd88bd4501a8f03e55b7",
"private": false,
"record": {
"abstract": "A novel information-theoretic method for reconstruction of interaction\nnetworks is introduced. We prove that the method is exact for some class of\nnetworks. Performance tests on large synthetic transcriptional regulatory\nnetworks produce very encouraging results.",
"arxiv_id": "q-bio/0410036",
"authors": [
"Adam A. Margolin",
"Ilya Nemenman",
"Chris Wiggins",
"Gustavo Stolovitzky",
"Andrea Califano"
],
"categories": [
"q-bio.MN",
"q-bio.GN",
"q-bio.QM"
],
"title": "On The Reconstruction of Interaction Networks with Applications to Transcriptional Regulation",
"url": "https://arxiv.org/abs/q-bio/0410036"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "72b9d442-e5c7-46da-8ba1-1f79704a75a9",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}