Cargando…
A novel riboswitch classification based on imbalanced sequences achieved by machine learning
Riboswitch, a part of regulatory mRNA (50–250nt in length), has two main classes: aptamer and expression platform. One of the main challenges raised during the classification of riboswitch is imbalanced data. That is a circumstance in which the records of a sequences of one group are very small comp...
Autores principales: | Beyene, Solomon Shiferaw, Ling, Tianyi, Ristevski, Blagoj, Chen, Ming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392346/ https://www.ncbi.nlm.nih.gov/pubmed/32687488 http://dx.doi.org/10.1371/journal.pcbi.1007760 |
Ejemplares similares
-
Big Data Analytics in Medicine and Healthcare
por: Ristevski, Blagoj, et al.
Publicado: (2018) -
Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine
por: Wang, Ke-Fan, et al.
Publicado: (2022) -
Imbalanced ECG signal-based heart disease classification using ensemble machine learning technique
por: Rath, Adyasha, et al.
Publicado: (2022) -
Imbalanced learning: Improving classification of diabetic neuropathy from magnetic resonance imaging
por: Teh, Kevin, et al.
Publicado: (2020) -
Tomek Link and SMOTE Approaches for Machine Fault Classification with an Imbalanced Dataset
por: Swana, Elsie Fezeka, et al.
Publicado: (2022)