dorsal/arxiv
View SchemaSelf-Organizing Approach for Finding Borders of DNA Coding Regions
| Authors | Fang Wu, Wei-Mou Zheng |
|---|---|
| Categories | |
| ArXiv ID | physics/0102048 |
| URL | https://arxiv.org/abs/physics/0102048 |
Abstract
A self-organizing approach is proposed for gene finding based on the model of codon usage for coding regions and positional preference for noncoding regions. The symmetry between the direct and reverse coding regions is adopted for reducing the number of parameters. Without requiring prior training, parameters are estimated by iteration. By employing the window sliding technique and likelihood ratio, a very accurate segmentation is obtained.
{
"annotation_id": "51308b2f-c2a9-44db-9580-02c336bb1306",
"date_created": "2026-03-02T18:00:35.179000Z",
"date_modified": "2026-03-02T18:00:35.179000Z",
"file_hash": "8277c9f65ae5752fafbd31e9cc8f777b39d4a7e78e3196f884822073e0e653e4",
"private": false,
"record": {
"abstract": "A self-organizing approach is proposed for gene finding based on the model of\ncodon usage for coding regions and positional preference for noncoding regions.\nThe symmetry between the direct and reverse coding regions is adopted for\nreducing the number of parameters. Without requiring prior training, parameters\nare estimated by iteration. By employing the window sliding technique and\nlikelihood ratio, a very accurate segmentation is obtained.",
"arxiv_id": "physics/0102048",
"authors": [
"Fang Wu",
"Wei-Mou Zheng"
],
"categories": [
"physics.bio-ph",
"q-bio.GN",
"q-bio.QM"
],
"title": "Self-Organizing Approach for Finding Borders of DNA Coding Regions",
"url": "https://arxiv.org/abs/physics/0102048"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "0a5b4ccf-1606-4521-8a88-45235d864359",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}