Skip to main navigation
Skip to search
Skip to main content
New Jersey Institute of Technology Home
Help & FAQ
Home
Profiles
Research units
Equipment
Projects
Research output
Search by expertise, name or affiliation
An empirical bayes testing procedure for detecting variants in analysis of next generation sequencing data
Zhigen Zhao, Wei Wang,
Zhi Wei
Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'An empirical bayes testing procedure for detecting variants in analysis of next generation sequencing data'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Sequencing
86%
Empirical Bayes
86%
Testing
50%
Site Testing
29%
False Discovery Rate
18%
Microarray
18%
Multiple Testing
17%
Genomics
16%
Bayesian Methods
15%
Statistical test
15%
Categorical or nominal
14%
Statistical Model
14%
Data analysis
13%
Multiplicity
11%
Valid
10%
Costs
10%
Simulation Study
10%
Business & Economics
Empirical Bayes
100%
Sequencing
79%
Testing
60%
Microarray
18%
Statistical Tests
17%
Statistical Model
16%
Bayesian Methods
14%
Multiplicity
13%
Hybridization
13%
Simulation Study
11%
Costs
4%
Engineering & Materials Science
Testing
37%
Genetics
16%
Statistical tests
13%
Microarrays
13%
Statistical Models
10%
Costs
4%