Cargando…
EVMP: enhancing machine learning models for synthetic promoter strength prediction by Extended Vision Mutant Priority framework
INTRODUCTION: In metabolic engineering and synthetic biology applications, promoters with appropriate strengths are critical. However, it is time-consuming and laborious to annotate promoter strength by experiments. Nowadays, constructing mutation-based synthetic promoter libraries that span multipl...
Autores principales: | Yang, Weiqin, Li, Dexin, Huang, Ranran |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354429/ https://www.ncbi.nlm.nih.gov/pubmed/37476664 http://dx.doi.org/10.3389/fmicb.2023.1215609 |
Ejemplares similares
-
A multi-omics machine learning framework in predicting the recurrence and metastasis of patients with pancreatic adenocarcinoma
por: Li, Shenming, et al.
Publicado: (2022) -
Synthetic learning machines
por: Ishwaran, Hemant, et al.
Publicado: (2014) -
Machine Learning for Computer Vision
por: Cipolla, Roberto, et al.
Publicado: (2013) -
A machine learning framework to optimize optic nerve electrical stimulation for vision restoration
por: Romeni, Simone, et al.
Publicado: (2021) -
Vision for the Future Sets NIEHS Priorities
Publicado: (1994)