Characterization of the fast skeletal troponin C ( TNNC2 ) gene in three Chinese native sheep breeds
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
Characterization of the fast skeletal troponin C ( TNNC2 ) gene in three Chinese native sheep breeds ; volume:51 ; number:6 ; year:2008 ; pages:572-581
Archives animal breeding ; 51, Heft 6 (2008), 572-581
- Urheber
-
Xu, Q.
Kang, K.
Yan, F.
An, J.
Chen, Y.
- DOI
-
10.5194/aab-51-572-2008
- URN
-
urn:nbn:de:101:1-2018010311615
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
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
- Xu, Q.
- Kang, K.
- Yan, F.
- An, J.
- Chen, Y.
Ähnliche Objekte (12)
Uncertainty analysis for estimates of the first indirect aerosol effect
SUPERPIXEL CLASSIFICATION OF HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE BASED ON MULTI-SCALE CNN AND SCALE PARAMETER ESTIMATION
EXTRACTION OF ORTHOGONAL BUILDING BOUNDARY FROM AIRBORNE LIDAR DATA BASED ON FEATURE DIMENSION REDUCTION
Superior coexistence: systematicALLY regulatING land subsidence BASED on set pair theory
LITHOLOGICAL CLASSIFICATION USING MULTI-SENSOR DATA AND CONVOLUTIONAL NEURAL NETWORKS
SENSOR CALIBRATION OF THREE-LINE CCD SCANNERS ON ZY-3
P02.159. EEG asymmetry, coherence, and temperament in children
AN AUTOMATIC KEY-FRAME SELECTION METHOD FOR VISUAL ODOMETRY BASED ON THE IMPROVED PWC-NET
Improving flood forecasting capability of physically based distributed hydrological models by parameter optimization
MMCPP: A MULTI-MODAL CONTRASTIVE PRE-TRAINING MODEL FOR PLACE REPRESENTATION BASED ON THE SPATIO-TEMPORAL FRAMEWORK
On weighted total least squares adjustment for solving the nonlinear problems
Multiobjective sensitivity analysis and optimization of distributed hydrologic model MOBIDIC
Uncertainty analysis for estimates of the first indirect aerosol effect
SUPERPIXEL CLASSIFICATION OF HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE BASED ON MULTI-SCALE CNN AND SCALE PARAMETER ESTIMATION
EXTRACTION OF ORTHOGONAL BUILDING BOUNDARY FROM AIRBORNE LIDAR DATA BASED ON FEATURE DIMENSION REDUCTION
Superior coexistence: systematicALLY regulatING land subsidence BASED on set pair theory
LITHOLOGICAL CLASSIFICATION USING MULTI-SENSOR DATA AND CONVOLUTIONAL NEURAL NETWORKS
SENSOR CALIBRATION OF THREE-LINE CCD SCANNERS ON ZY-3
P02.159. EEG asymmetry, coherence, and temperament in children
AN AUTOMATIC KEY-FRAME SELECTION METHOD FOR VISUAL ODOMETRY BASED ON THE IMPROVED PWC-NET
Improving flood forecasting capability of physically based distributed hydrological models by parameter optimization
MMCPP: A MULTI-MODAL CONTRASTIVE PRE-TRAINING MODEL FOR PLACE REPRESENTATION BASED ON THE SPATIO-TEMPORAL FRAMEWORK
On weighted total least squares adjustment for solving the nonlinear problems
Multiobjective sensitivity analysis and optimization of distributed hydrologic model MOBIDIC
Uncertainty analysis for estimates of the first indirect aerosol effect
SUPERPIXEL CLASSIFICATION OF HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE BASED ON MULTI-SCALE CNN AND SCALE PARAMETER ESTIMATION
EXTRACTION OF ORTHOGONAL BUILDING BOUNDARY FROM AIRBORNE LIDAR DATA BASED ON FEATURE DIMENSION REDUCTION
Superior coexistence: systematicALLY regulatING land subsidence BASED on set pair theory
LITHOLOGICAL CLASSIFICATION USING MULTI-SENSOR DATA AND CONVOLUTIONAL NEURAL NETWORKS
SENSOR CALIBRATION OF THREE-LINE CCD SCANNERS ON ZY-3
P02.159. EEG asymmetry, coherence, and temperament in children
AN AUTOMATIC KEY-FRAME SELECTION METHOD FOR VISUAL ODOMETRY BASED ON THE IMPROVED PWC-NET
Improving flood forecasting capability of physically based distributed hydrological models by parameter optimization
MMCPP: A MULTI-MODAL CONTRASTIVE PRE-TRAINING MODEL FOR PLACE REPRESENTATION BASED ON THE SPATIO-TEMPORAL FRAMEWORK
On weighted total least squares adjustment for solving the nonlinear problems