α-HMM: A Graphical Model for RNA Folding
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866916083717373952 |
|---|---|
| author | Zhang, Sixiang Yang, Aaron J. Cai, Liming |
| author_facet | Zhang, Sixiang Yang, Aaron J. Cai, Liming |
| contents | RNA secondary structure is modeled with the novel arbitrary-order hidden Markov model (α-HMM). The α-HMM extends over the traditional HMM with capability to model stochastic events that may be in influenced by historically distant ones, making it suitable to account for long-range canonical base pairings between nucleotides, which constitute the RNA secondary structure. Unlike previous heavy-weight extensions over HMM, the α-HMM has the flexibility to apply restrictions on how one event may influence another in stochastic processes, enabling efficient prediction of RNA secondary structure including pseudoknots. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_03571 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | α-HMM: A Graphical Model for RNA Folding Zhang, Sixiang Yang, Aaron J. Cai, Liming Biomolecules Machine Learning RNA secondary structure is modeled with the novel arbitrary-order hidden Markov model (α-HMM). The α-HMM extends over the traditional HMM with capability to model stochastic events that may be in influenced by historically distant ones, making it suitable to account for long-range canonical base pairings between nucleotides, which constitute the RNA secondary structure. Unlike previous heavy-weight extensions over HMM, the α-HMM has the flexibility to apply restrictions on how one event may influence another in stochastic processes, enabling efficient prediction of RNA secondary structure including pseudoknots. |
| title | α-HMM: A Graphical Model for RNA Folding |
| topic | Biomolecules Machine Learning |
| url | https://arxiv.org/abs/2401.03571 |