6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site ; volume:16 ; number:1 ; day:27 ; month:11 ; year:2023 ; pages:1-15 ; date:12.2023
BioData Mining ; 16, Heft 1 (27.11.2023), 1-15, 12.2023
- Urheber
-
Huang, Guohua
Huang, Xiaohong
Luo, Wei
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13040-023-00348-8
- URN
-
urn:nbn:de:101:1-2024021413301487474652
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
2025-08-15T07:33:40+0200
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Huang, Guohua
- Huang, Xiaohong
- Luo, Wei
- SpringerLink (Online service)
Ähnliche Objekte (12)
Visual element recognition based on profile coefficient and image processing technology
Visual analytics of geo-social interaction patterns for epidemic control
Enhanced Two-Step Virtual Catchment Area (E2SVCA) model to measure telehealth accessibility
Development of wellbore compound blockage removal technology to reduce production loss in the ultra-deep and high-sulfur Yuanba gas field
Stacking, blending & reclaiming
Molecular Stacking on Graphene
Molecular Stacking on Graphene
Molecular Stacking on Graphene
EMDL_m6Am: identifying N6,2′-O-dimethyladenosine sites based on stacking ensemble deep learning
Study of Potential‐Induced Degradation in Glass‐Encapsulated Perovskite Solar Cells under Different Stress Conditions
Strong Optical Excitation and High Thermoelectric Performance in 2D Holey‐Phosphorene Monolayer
Recent Progress in Microfiber-Optic Sensors
Visual element recognition based on profile coefficient and image processing technology
Visual analytics of geo-social interaction patterns for epidemic control
Enhanced Two-Step Virtual Catchment Area (E2SVCA) model to measure telehealth accessibility
Development of wellbore compound blockage removal technology to reduce production loss in the ultra-deep and high-sulfur Yuanba gas field
Stacking, blending & reclaiming
Molecular Stacking on Graphene
Molecular Stacking on Graphene
Molecular Stacking on Graphene
EMDL_m6Am: identifying N6,2′-O-dimethyladenosine sites based on stacking ensemble deep learning
Study of Potential‐Induced Degradation in Glass‐Encapsulated Perovskite Solar Cells under Different Stress Conditions
Strong Optical Excitation and High Thermoelectric Performance in 2D Holey‐Phosphorene Monolayer
Recent Progress in Microfiber-Optic Sensors
Visual element recognition based on profile coefficient and image processing technology
Visual analytics of geo-social interaction patterns for epidemic control
Enhanced Two-Step Virtual Catchment Area (E2SVCA) model to measure telehealth accessibility
Development of wellbore compound blockage removal technology to reduce production loss in the ultra-deep and high-sulfur Yuanba gas field
Stacking, blending & reclaiming
Molecular Stacking on Graphene
Molecular Stacking on Graphene
Molecular Stacking on Graphene
EMDL_m6Am: identifying N6,2′-O-dimethyladenosine sites based on stacking ensemble deep learning
Study of Potential‐Induced Degradation in Glass‐Encapsulated Perovskite Solar Cells under Different Stress Conditions
Strong Optical Excitation and High Thermoelectric Performance in 2D Holey‐Phosphorene Monolayer