Lanean...
A new algorithm to train hidden Markov models for biological sequences with partial labels
BACKGROUND: Hidden Markov models (HMM) are a powerful tool for analyzing biological sequences in a wide variety of applications, from profiling functional protein families to identifying functional domains. The standard method used for HMM training is either by maximum likelihood using counting when...
Gorde:
| Argitaratua izan da: | BMC Bioinformatics |
|---|---|
| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BioMed Central
2021
|
| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7995745/ https://ncbi.nlm.nih.gov/pubmed/33771095 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04080-0 |
| Etiketak: |
Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|