Cargando…
Photosynthetic protein classification using genome neighborhood-based machine learning feature
Identification of novel photosynthetic proteins is important for understanding and improving photosynthetic efficiency. Synergistically, genome neighborhood can provide additional useful information to identify photosynthetic proteins. We, therefore, expected that applying a computational approach,...
Autores principales: | Sangphukieo, Apiwat, Laomettachit, Teeraphan, Ruengjitchatchawalya, Marasri |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189237/ https://www.ncbi.nlm.nih.gov/pubmed/32346070 http://dx.doi.org/10.1038/s41598-020-64053-w |
Ejemplares similares
-
PhotoModPlus: A web server for photosynthetic protein prediction from genome neighborhood features
por: Sangphukieo, Apiwat, et al.
Publicado: (2021) -
Computational Design of Hypothetical New Peptides Based on a Cyclotide Scaffold as HIV gp120 Inhibitor
por: Sangphukieo, Apiwat, et al.
Publicado: (2015) -
mSRFR: a machine learning model using microalgal signature features for ncRNA classification
por: Anuntakarun, Songtham, et al.
Publicado: (2022) -
Construction of Light-Responsive Gene Regulatory Network for Growth, Development and Secondary Metabolite Production in Cordyceps militaris
por: In-on, Ammarin, et al.
Publicado: (2022) -
Heterogeneous ensemble approach with discriminative features and
modified-SMOTEbagging for pre-miRNA classification
por: Lertampaiporn, Supatcha, et al.
Publicado: (2013)