A carregar...
GkmExplain: fast and accurate interpretation of nonlinear gapped k-mer SVMs
SUMMARY: Support Vector Machines with gapped k-mer kernels (gkm-SVMs) have been used to learn predictive models of regulatory DNA sequence. However, interpreting predictive sequence patterns learned by gkm-SVMs can be challenging. Existing interpretation methods such as deltaSVM, in-silico mutagenes...
Na minha lista:
| Publicado no: | Bioinformatics |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6612808/ https://ncbi.nlm.nih.gov/pubmed/31510661 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz322 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|