A regression framework for assessing covariate effects on the reproducibility of high-throughput experiments.
Li, Qunhua
A regression framework for assessing covariate effects on the reproducibility of high-throughput experiments. [electronic resource] - Biometrics 09 2018 - 803-813 p. digital
Publication Type: Journal Article; Research Support, N.I.H., Extramural
1541-0420
10.1111/biom.12832 doi
Algorithms
Binding Sites
CCCTC-Binding Factor--chemistry
Calibration
Computer Simulation
Confounding Factors, Epidemiologic
Gene Expression Profiling--statistics & numerical data
High-Throughput Screening Assays--standards
Humans
Microarray Analysis--statistics & numerical data
Models, Statistical
Regression Analysis
Reproducibility of Results
A regression framework for assessing covariate effects on the reproducibility of high-throughput experiments. [electronic resource] - Biometrics 09 2018 - 803-813 p. digital
Publication Type: Journal Article; Research Support, N.I.H., Extramural
1541-0420
10.1111/biom.12832 doi
Algorithms
Binding Sites
CCCTC-Binding Factor--chemistry
Calibration
Computer Simulation
Confounding Factors, Epidemiologic
Gene Expression Profiling--statistics & numerical data
High-Throughput Screening Assays--standards
Humans
Microarray Analysis--statistics & numerical data
Models, Statistical
Regression Analysis
Reproducibility of Results